September 2026 - BBClist - maillist.psb.ugent.be

Are your analyses truly reproducible? 🔬
by BeNeLux bioinformaticians forum 21 Sep '26

21 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- ________________________________ From: VIB Training & Conferences <trainingandconferences(a)vib.be> Subject: Are your analyses truly reproducible? 🔬 4 courses | October–December 2026 | Ghent ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ No Images? Click Here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…]<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> Dear, As a researcher, you’re expected to produce results that are transparent, shareable, and reproducible. Yet most of us were never formally trained in how to make our code, pipelines, and computational environments truly reusable. Have you ever: * Struggled to rerun your own analysis? * Lost track of which script version generated a figure? * Faced reviewer requests that required painful reconstruction of your workflow? Reproducible data analysis is no longer optional — it’s becoming a core research skill. That’s why VIB Training & Conferences, in collaboration with Ghent University, is organizing the micro-credential Reproducible Data Analysis (3 ECTS), starting in October 2026. The program consists of four individual courses that you can also take separately. Below is an overview of each course and its focus. Register here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] A closer look at the courses Each of the four courses builds toward your final project, giving you a complete toolkit for reproducible data analysis. 5 & 6 November: Versioning code and documentation with Git & GitHub Keep track of changes and collaborate without confusion. You will learn to: * Track and organize changes in your code and documents * Collaborate smoothly without overwriting each other’s work * Share projects clearly and professionally Register before 26 October here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…>. [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] 20 November: High Performance Computing: Structure and practice essentials Run large analyses efficiently on shared computing systems. You will learn to: * Work confidently on a remote Linux system * Submit and manage analysis jobs * Use computing resources efficiently Register before 1 November here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…>. 23 & 24 November: Containerize data analysis with Docker & Apptainer Make sure your analysis runs the same way everywhere. You will learn to: * Package software and dependencies into portable environments * Run your analysis on different systems without breaking it * Share complete, ready-to-use setups with collaborators Register before 8 November here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…>. [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] 7 & 8 December: Nextflow for reproducible and automated data analysis Turn scripts into structured, reusable workflows. You will learn to: * Build and run automated analysis pipelines * Organise workflows for clarity and reuse * Scale analyses from your laptop Register before 22 November here<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…>. Why you should join Whether you choose to follow one specific course or complete the full micro-credential, you’ll gain practical tools that help you work more efficiently, collaborate more easily, and future-proof your research. Spots are limited to ensure interactive, hands-on learning. If reproducibility is something you’ve been meaning to “figure out someday,” this is your opportunity to build those skills in a structured and supported way. We hope to welcome you to Ghent this spring. Best regards, VIB Training & Conferences Team [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] [https://vib.activehosted.com/cdn-cgi/image/fit=scale-down,width=650,dpr=2,f…] [Linkedin]<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> [BlueSky] <https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> [Website] <https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…> [Email] <mailto:trainingandconferences@vib.be> Do you have any questions about VIB Training & Conferences? Make sure to check the FAQ page<https://vib.acemlna.com/lt.php?x=4lZy~GDHV6OiEHR.zgDKW.lu2nygj_9ukuVkXnTEUI…>. Click here to unsubscribe<https://vib.activehosted.com/proc.php?c=2817&m=2637&s=4fc9f876f589360040050…> VIB, Suzanne Tassierstraat 1, 9052 Ghent, Belgium Disclaimer: This message and any attachments are intended solely for the named recipient(s) and may contain confidential, privileged, or protected information. Any unauthorized review, use, disclosure, or distribution is strictly prohibited. If you have received this message in error, please delete it and notify the sender immediately.

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3 Years postdoc at Leiden University Medical Center
by BeNeLux bioinformaticians forum 18 Sep '26

18 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Dear all, We are looking for a postdoc to join our lab at the Leiden University Medical Center. This is a 3 year position within the Institute for Chemical Neuroscience consortium to develop computational methods to integrate unique multimodal datasets to identify promising leads and candidate targets for neuropsychiatric disorders. Please reach out if you are interested. Cheers, Ahmed *Ahmed Mahfouz, PhD | Associate Professor, Department of Human Genetics* Leiden University Medical Center | Dept. of Human Genetics | P.O. Box 9600, 2300 RC Leiden | Postal zone S4-P Room R-04-022 | Phone +31 71 52 69513 https://www.mahfouzlab.org/

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PhD Positions in Computational Research, Data Science and AI at the German Cancer Research Center (DKFZ)
by BeNeLux bioinformaticians forum 15 Sep '26

15 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- If this message is not displayed correctly, please click here. <https://t70da41a7.emailsys1a.net/mailing/284/9429497/2396595/3/0733bd8667/i…> ------------------------------------------------------------------------ PHD POSITIONS IN COMPUTATIONAL RESEARCH, DATA SCIENCE AND ARTIFICIAL INTELLIGENCE Are you interested in solving fascinating biological or medical questions computationally? At the German Cancer Research Center (DKFZ), Germany´s largest biomedical research institute with its core site in Heidelberg, computational scientists work at the forefront of artificial intelligence and cancer research. They combine interdisciplinary approaches from computer science, medical informatics, physics, biology, bioinformatics and statistics to analyze and understand complex biological and medical data. ------------------------------------------------------------------------ Research activities include: Development and application of machine learning and computational methods for multi-modal data integration, including integrative analysis of genomic, epigenomic, transcriptomic, proteomic, metabolomic and radiomic imaging data Development of methods for modeling and simulation of biological and medical processes Medical informatics DNA mutation analysis and machine learning to decipher cancer genome variation Application and development of state-of-the-art technologies for single-cell omics and life cell imaging Computer-assisted radiology and surgery Biostatistical evaluation of experimental and clinical data For more information about the groups and their research visit: www.dkfz.de/research <https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66559/c232c…> ------------------------------------------------------------------------ Ready to start your PhD in cancer research? [Button: Apply now <https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66669/e3f05…>] Application deadline: 19 October 2026 We support and value diversity and encourage applications from individuals from underrepresented groups. If you require assistance during the application process, please contact phd(a)dkfz.de https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66561/73bd1…> https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66562/261ab…> https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66563/92ad1…> https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66564/06b6a…> ------------------------------------------------------------------------ DKFZ Cancer Research Academy International PhD Program German Cancer Research Center (DKFZ) Foundation under Public Law Im Neuenheimer Feld 280, 69120 Heidelberg, Germany Management Board: Prof. Dr. med. Dr. h.c. Michael Baumann, Shalini Saxena (interim) https://t70da41a7.emailsys1a.net/c/284/9429497/1732/0/2396595/3/66565/96e31…> phd(a)dkfz.de> Want to change how you receive emails from us? Click here to update your recipient profile <https://t70da41a7.emailsys1a.net/p/70da41a7/sUw5_hmGJBF2bUGsZ9-Rs8J9r_tMe9v…> or unsubscribe <https://t70da41a7.emailsys1a.net/284/9429497/1732/2396595/3/7c361c4828/unsu…>

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Postdoc positions in Computational Genomics
by BeNeLux bioinformaticians forum 11 Sep '26

11 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Dear all, We would like to inform you about two postdoc positions in Computational Genomics available in our lab in Gothenburg, Sweden. Apply here: https://CGRlab.github.io/join/ Research project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, with important roles in gene expression, cellular function, and development. In this project, we will conduct a comparative study of noncoding genomic regions. The candidate will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data. Research project 2. This project focuses on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype. We previously developed methods for haplotype phasing in humans and polyploids. In this project, we aim to develop machine learning models to advance the characterization of genetic variations. Research project 3. De novo genes are genes that arise from previously non-coding DNA rather than being inherited from an existing gene during the course of evolution. They are important because they can introduce new functions and contribute to the evolution and adaptation of organisms. We will develop methods to study how de novo genes evolve in eukaryotes. Best regards, Sina - - - - - - Sina Majidian, PhD Assistant Professor, Computational Genomics Research Lab Computer Science and Engineering, Chalmers and University of Gothenburg. DDLS Fellow, SciLifeLab, Sweden.

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postdoc opportunity
by BeNeLux bioinformaticians forum 11 Sep '26

11 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Dear all, I would like to announce an exciting computational 3-year postdoc opportunity in my group at NIRI to develop machine learning methods for multi-omics integration. Join our passionate and highly collaborative Metabolic Research Group in Riga, Latvia. Apply here: https://euraxess.ec.europa.eu/jobs/464445 <https://t.co/p1JAwxQBAc> Best regards, Nikolay ****************************************************************** Nikolay Oskolkov, PhD Group Leader, Principal Investigator, Metabolic Research Group, TARGETWISE project https://nikolay-oskolkov.com/metabolic-research-group/ https://targetwise.osi.lv/research/metabolic-research-group/ https://nikolay-oskolkov.com/ https://www.biology.lu.se/nikolay-oskolkov https://niri.lv/en/home/ https://scholar.google.ca/citations?user=0DnwWQIAAAAJ&hl=en National Institute of Research and Innovation (NIRI), Aizkraukles street 21, LV-1006, Riga, Latvia Phone: +46 761 463349 E-mail: nikolay.oskolkov(a)niri.lv ******************************************************************

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PHD Job offer - Interpretable vector symbolic architectures for Genome Interpretation FOR BIOINFORMATICS (M/F)
by BeNeLux bioinformaticians forum 11 Sep '26

11 Sep '26

*_Interpretable Vector Symbolic Architectures for scalable Genome Interpretation_* We are looking for a motivated PhD student to work at the interface of Artificial Intelligence, Machine Learning, Bioinformatics, and Genomics. The project will investigate the use of Vector Symbolic Architectures (VSA), also known as Hyperdimensional Computing, as a new framework for predicting phenotypes and disease risk directly from genomic sequencing data. *_Project description_* Genome Interpretation aims to understand how genetic variation determines phenotypes, including quantitative traits and disease risk. This remains a challenging machine-learning problem because genomic datasets contain millions of variables but comparatively few samples, making conventional neural networks prone to overfitting and difficult to interpret. The PhD project will develop a new approach based on Vector Symbolic Architectures, in which genomic information is represented using high-dimensional vectors and compositional algebraic operations. The student will develop methods to encode genomic information at multiple biological scales: variant → gene → pathway → individual using operations such as binding, bundling, and permutation. These representations will then be used to build predictive models of genotype–phenotype relationships. The project will first be prototyped using yeast whole-genome sequencing data and hundreds of quantitative phenotypes, allowing rapid comparison of different VSA representations and learning strategies. The methods will subsequently be applied to human exome sequencing data , using publicly available case-control cohorts. A major component of the project will focus on interpretability. The student will develop methods based on VSA decoding and unbinding to identify the variants, genes, and biological pathways contributing to individual predictions and compare the discovered signals with known disease-associated loci. The project therefore combines methodological development in machine learning with applications to real genomic datasets and clinically relevant problems. *Main research objectives* The PhD student will: • develop multi-scale VSA representations for genomic sequencing data; investigate different hypervector representations, including binary, bipolar, ternary, and continuous encodings; • design supervised and potentially self-supervised learning methods operating on genomic hypervectors; • benchmark VSA models against conventional machine-learning and deep-learning approaches; • develop interpretable decoding methods to quantify variant-, gene-, and pathway-level contributions; • apply the developed methods to yeast genotype–phenotype prediction and human IBD disease-risk prediction; • analyze the biological relevance of the associations discovered by the models; • publish the methodological and biological results in international journals and conferences. *Required skills* Candidates should have a Master's degree, or equivalent, in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Computational Biology, Applied Mathematics, or a related discipline. Strong candidates should have: • solid Python programming skills and pytorch; • bioinformatics or computational genomics knowledge; • good knowledge of machine learning and statistical learning; • familiarity with linear algebra, vector representations, and optimization; • experience working with scientific datasets; • ability to independently design, implement, and evaluate computational methods; • good written and spoken English (at least B2). *The job interview will be in english* *Useful but not mandatory experience* Experience in one or more of the following would be advantageous: • deep learning and PyTorch; • hyperdimensional computing or Vector Symbolic Architectures; • genomic data formats such as VCF; • population genetics or genotype–phenotype prediction; • dimensionality reduction and representation learning; • interpretable or explainable machine learning; • high-performance computing and large-scale data analysis. Previous biological training is not required, provided the candidate is interested in learning the necessary genomics and genetics concepts. *Candidate profile * We are particularly interested in candidates who enjoy developing new machine-learning methodology rather than only applying existing models. The project requires a combination of algorithmic thinking, mathematical reasoning, programming, and curiosity about biological problems. The successful candidate will work on a highly interdisciplinary project at the frontier between AI and genome biology, with the opportunity to develop a largely unexplored computational paradigm for interpretable genome analysis. Salary is 2300€ brut. The start date is the 1/11/2026 (mandatory). Applications should be sent to daniele.raimondi(a)igmm.cnrs.fr with the following object: [PHD VSA]: /name applicant / (Emails are automatically filtered).

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Upcoming AI-related courses at VIB
by BeNeLux bioinformaticians forum 09 Sep '26

09 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- VIB Training & Conferences Upcoming Training opportunities [cid:301da1b6-49b4-4130-b51a-b32848432776] 1. Using generative AI responsibly and proficiently at work <https://training.vib.be/all-trainings/using-generative-ai-responsibly-and-p…> 👆<https://training.vib.be/all-trainings/using-generative-ai-responsibly-and-p…> When: 13th October Where: Leuven Duration: Half day You will learn practical prompting techniques to make these tools support brainstorming, tone and style adjustments, content drafting and summarization. We also touch on ethical considerations such as ownership, copyright, and bias, ensuring you can use AI technologies effectively while maintaining integrity. [cid:7bb95584-0a03-402c-a774-4dcf4f4dbc90] 2. Application of generative AI for scholarly work<https://training.vib.be/all-trainings/application-generative-ai-scholarly-w…>👆<https://training.vib.be/all-trainings/application-generative-ai-scholarly-w…> When: 27th October Where: Gent Duration: One day This training focuses on generative AI tool used to support scholarly workflows. We will explore different AI tools to support tasks from literature reviews to content drafting, summarization, and visualization. We will also show how you can leverage AI agents to execute actions based on predefined context and instructions. [cid:14fe2f60-b850-4d97-8ddb-100d381b28e9] 3. Basic image processing using Fiji <https://training.vib.be/all-trainings/basic-image-processing-using-fiji-10> 👆<https://training.vib.be/all-trainings/basic-image-processing-using-fiji-10> When: 1st October Where: Ghent Duration: One day This explores machine learning and neural network methods for image segmentation tasks, including Random Forest–based pixel classification . The course also covers automating repetitive tasks enabling you to create reproducible workflows to analyse microscopy images. [cid:40644595-d4f9-4a8f-a233-ca5ba2b28764] 4. Quantitative bioimage analysis in QuPath: Essentials <https://training.vib.be/all-trainings/quantitative-bioimage-analysis-qupath…> 👆<https://training.vib.be/all-trainings/quantitative-bioimage-analysis-qupath…> When: 2nd October Where: Ghent Duration: One day You will learn how to navigate the software and leverage built-in machine learning algorithms (including Random Forest and neural networks) to perform cell segmentation, classify pixels and objects, and extract quantitative features. We will also introduce basic scripting for batch processing, enabling scalable workflows. [cid:4f184404-0b62-4d2a-be9a-3eb85fc6c1be] 5. Scientific visualization and communication with PyMOL3<https://training.vib.be/all-trainings/scientific-visualization-and-communic…> <https://training.vib.be/all-trainings/scientific-visualization-and-communic…> 👆<https://training.vib.be/all-trainings/scientific-visualization-and-communic…> When: 5th October Where: Brussels Duration: One day This hands-on course introduces how to load and navigate structures, inspect protein features, apply visualization techniques, and perform basic analyses. A strong focus is on creating clear figures and animations for publications and presentations. [cid:e6bc9544-c89c-4fba-a580-499ae1086410] 6. <https://training.vib.be/all-trainings/agentic-coding-github-copilot-0> Exploring protein structures: From analysis to prediction<https://training.vib.be/all-trainings/exploring-protein-structures-analysis…>👆<https://training.vib.be/all-trainings/exploring-protein-structures-analysis…> When: 25th November Where: Gent Duration: Two days You will learn how to explore, compare, and visualize protein structures and gain insights into modern prediction methods. The training also covers approaches for designing protein variants and studying protein-protein interactions, combining theory with extensive hands-on practice. [cid:367ba9b8-3bc1-46f6-b7f5-485d943fce1b] 7. Agentic coding with GitHub Copilot<https://training.vib.be/all-trainings/agentic-coding-github-copilot-0>👆<https://training.vib.be/all-trainings/agentic-coding-github-copilot-0> When: 3rd December Where: Gent Duration: One day Are you ready to go beyond simple chat-based coding and unlock the power of structured, agentic workflows? In this hands-on workshop, you'll learn how to move beyond chat-based coding and design structured, agentic coding workflows. You are welcome to contact us (trainingandconferences(a)vib.be) if you have any questions. Please share this email. Looking forward to seeing you around. VIB Training & Conferences vibtrainingandconferences.be<https://www.vibtrainingandconferences.be/#/> | elixir-belgium.org/training<https://www.elixir-belgium.org/training> [cid:9aaa6c03-c8cb-4ca6-8fd6-970e93f8c8d7] VIB Training & Conferences | Suzanne Tassierstraat 1 | 9052 Ghent | Belgium Tel. +32 9 244 66 11 Website<https://www.vibtrainingandconferences.be/> | LinkedIn<https://www.linkedin.com/showcase/vibtrainconf/> | Bluesky<https://bsky.app/profile/vibtrainconf.bsky.social> Disclaimer: This message and any attachments are intended solely for the named recipient(s) and may contain confidential, privileged, or protected information. Any unauthorized review, use, disclosure, or distribution is strictly prohibited. If you have received this message in error, please delete it and notify the sender immediately.

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BioSB course Constraint-Based Modeling: Introduction and Advanced Topics / 1-5 February 2027, Maastricht, the Netherlands
by BeNeLux bioinformaticians forum 08 Sep '26

08 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Dear all, Explore computational modelling of genome-scale metabolic networks using the constraint-based modelling framework, with applications spanning biotechnology, microbiology, and systems biomedicine. Register now for the 5-day BioSB course: Constraint-Based Modeling: Introduction and Advanced Topics Maastricht, the Netherlands 1-5 February 2027 - early bird until 7 December 2026 Lecturers: Maria Suarez Diez (Wageningen University), Marian Breuer (Maastricht University), Djordje Bajic (Delft University of Technology) Information and registration: https://www.dtls.nl/courses/constraint-based-modeling-introduction-and-adva… Kind regards, Perry Moerland --- Dr. ir. P.D. Moerland Bioinformatics Laboratory | Epidemiology and Data Science (EDS) Amsterdam UMC Mon: Location VUmc | Medical Faculty building, ABCD3 | Van der Boechorstraat 7 | 1081BT AMSTERDAM Tue/Th: Location AMC | J1B | Meibergdreef 9 | 1105 AZ AMSTERDAM E: p.d.moerland(a)amsterdamumc.nl W: https://bioinformaticslaboratory.eu/ ______________________________________________________ AmsterdamUMC disclaimer : www.amsterdamumc.org/nl/disclaimers.htm

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BioSB course Dynamic Modeling in Systems Biology: 7-11 December 2026, Wageningen, the Netherlands
by BeNeLux bioinformaticians forum 08 Sep '26

08 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Dear all, Learn how to move beyond data collection and use mathematical modelling to truly understand the dynamic behaviour of complex biological systems. Register now for the 5-day BioSB course: Dynamic Modeling in Systems Biology Wageningen, the Netherlands 7-11 December 2026 - early bird until 12 October 2026 Lecturers: Aalt-Jan van Dijk (University of Amsterdam), Natal van Riel and Dragan Bošnački (Eindhoven University of Technology), Hans Stigter (Wageningen University) Information and registration: https://www.dtls.nl/courses/dynamic-modeling-in-systems-biology-2026/ Kind regards, Perry Moerland --- Dr. ir. P.D. Moerland Bioinformatics Laboratory | Epidemiology and Data Science (EDS) Amsterdam UMC Mon: Location VUmc | Medical Faculty building, ABCD3 | Van der Boechorstraat 7 | 1081BT AMSTERDAM Tue/Th: Location AMC | J1B | Meibergdreef 9 | 1105 AZ AMSTERDAM E: p.d.moerland(a)amsterdamumc.nl W: https://bioinformaticslaboratory.eu/ ______________________________________________________ AmsterdamUMC disclaimer : www.amsterdamumc.org/nl/disclaimers.htm

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Upcoming OMICS bioinformatics training at VIB
by BeNeLux bioinformaticians forum 07 Sep '26

07 Sep '26

Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- VIB Training & Conferences Upcoming Training opportunities [cid:4c9e2c03-e2e5-47ea-bcc8-e6883921737e] 1. Bulk RNA-seq analysis<https://training.vib.be/all-trainings/bulk-rna-seq-analysis-0> <https://training.vib.be/all-trainings/scientific-visualization-and-communic…> 👆<https://training.vib.be/all-trainings/bulk-rna-seq-analysis-0> When: 2nd October Where: Leuven This course is designed to teach you how to move from raw counts to meaningful biological insights using Bulk RNA-seq data. By the end of the training, you will be able to confidently analyze your own datasets using widely adopted tools and workflows. [cid:b2565b88-c670-4e42-930e-41ac988d5054] 2. Scywalker for processing long-read single-cell RNASeq<https://training.vib.be/all-trainings/scywalker-processing-long-read-single…> data <https://training.vib.be/all-trainings/scientific-visualization-and-communic…> 👆<https://training.vib.be/all-trainings/scywalker-processing-long-read-single…> When: 7th October Where: Antwerp Understanding transcript diversity at the single-cell level is key when you study gene regulation. In this course you will learn to apply the Scywalker pipeline to generate gene and transcript count matrices for downstream comparisons of gene and isoform expression across samples and cell types. [cid:c54fbf35-58f1-4f2e-b797-a4a754a0d19d] 3. Scientific visualization and communication with PyMOL3<https://training.vib.be/all-trainings/scientific-visualization-and-communic…> <https://training.vib.be/all-trainings/scientific-visualization-and-communic…> 👆 When: 5th October Where: Brussels This hands-on course introduces how to load and navigate structures, inspect protein features, apply visualization techniques, and perform basic analyses. A strong focus is on creating clear figures and animations for publications and presentations. [cid:de0f235f-03c6-441a-aad9-2dbd12c2c290] 4. Programming in Python: Master your first project<https://training.vib.be/all-trainings/programming-python-master-your-first-…> <https://training.vib.be/all-trainings/programming-python-master-your-first-…> 👆<https://training.vib.be/all-trainings/programming-python-master-your-first-…> When: 15th October Where: Online You will explore core programming concepts through a mix guided practical afternoons, and self-paced exercises. By the end of the course, you will be able to read, modify, and write Python programs and feel confident continuing with more advanced programming topics. You are welcome to contact us (trainingandconferences(a)vib.be) if you have any questions. Please share this email. Looking forward to seeing you around. VIB Training & Conferences vibtrainingandconferences.be<https://www.vibtrainingandconferences.be/#/> | elixir-belgium.org/training<https://www.elixir-belgium.org/training> [cid:9aaa6c03-c8cb-4ca6-8fd6-970e93f8c8d7] VIB Training & Conferences | Suzanne Tassierstraat 1 | 9052 Ghent | Belgium Tel. +32 9 244 66 11 Website<https://www.vibtrainingandconferences.be/> | LinkedIn<https://www.linkedin.com/showcase/vibtrainconf/> | Bluesky<https://bsky.app/profile/vibtrainconf.bsky.social> Disclaimer: This message and any attachments are intended solely for the named recipient(s) and may contain confidential, privileged, or protected information. Any unauthorized review, use, disclosure, or distribution is strictly prohibited. If you have received this message in error, please delete it and notify the sender immediately.

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