- BBClist - maillist.psb.ugent.be

Vacancy: 3y Postdoc Sequence Algorithms - KeyGene - TU Delft
by Thomas Abeel - EWI 13 Feb '18

13 Feb '18

See enclosed advertisement for a 3 year post-doc position at KeyGene and TU Delft. kind regards, Thomas

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Job: lecturer bioinformatics at Hogeschool van Arnhem en Nijmegen (Dutch)
by Bruggen Martijn van der 12 Feb '18

12 Feb '18

Dear all, We have an opening for a lecturer bioinformatics: https://www.han.nl/start/corporate/werken-bij-de-han/vacatures/_detail/inde… and a temporary instructor: https://www.han.nl/start/corporate/werken-bij-de-han/vacatures/_detail/inde… Please also forward to any potentially interested candidates you might know. Thanks, Martijn. Martijn. Drs. M.H.H. van der Bruggen Docent bioinformatica / Opleidingscoördinator bioinformatica Hogeschool van Arnhem en Nijmegen (HAN) Instituut voor Toegepaste Biowetenschappen en Chemie Postadres: postbus 6960 | 6503 GL NIJMEGEN | Nederland Bezoekadres: Laan van Scheut 2 | Kamer 0.07 | 6525 EM NIJMEGEN | Nederland | +31-6-55206344 Aanwezig: maandag – dinsdag – woensdag – donderdag - vrijdag [1512978560569_PastedImage]

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Vacancy Bioinformatics Scientist | Bayer | Nunhem | Fulltime
by Victor de Jager 12 Feb '18

12 Feb '18

Dear all, To strengthen our team, we are looking for a Bioinformatics Scientist. Please visit our career page for more information. https://www.career.bayer.be/nl/job/Bioinformatics-Scientist--0000206410.html or view the vacancy on LinkedIn https://www.linkedin.com/jobs/view/592571534/ Kind regards, Victor de Jager

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DSM vacancy: Data Scientist
by Touw, Wouter 09 Feb '18

09 Feb '18

Dear all, We are looking for a talented and enthusiastic data scientist to join our team at the DSM Biotechnology Center in Delft. The job description is pasted below. More information about the vacancy can be found on LinkedIn: https://nl.linkedin.com/jobs/view/data-scientist-at-dsm-550970015 Kind regards, Wouter Touw | Data Scientist | DSM Biotechnology Center | Alexander Fleminglaan 1 | 2613 AX Delft | Netherlands | DSM Biotechnology Center is part of DSM Food Specialties B.V., Trade Register Number 27235314 [cid:image001.jpg@01D3A191.7197CCE0] Royal DSM is a global science-based company active in health, nutrition and materials. By connecting its unique competences in life sciences and materials sciences DSM is driving economic prosperity, environmental progress and social advances to create sustainable value for all stakeholders simultaneously. DSM delivers innovative solutions that nourish, protect and improve performance in global markets such as food and dietary supplements, personal care, feed, medical devices, automotive, paints, electrical and electronics, life protection, alternative energy and bio-based materials. DSM and its associated companies deliver annual net sales of about €10 billion with approximately 25,000 employees. The company is listed on Euronext Amsterdam. More information can be found at www.dsm.com<http://www.dsm.com> . The DSM Biotechnology Center (DBC) is the primary location for Biotechnological Research and Development and is responsible for the realization of biotechnological innovations and the developments of new products and cost effective production processes. In order to be a truly globally recognized Biotech competence leader, DBC successfully strives to be optimally connected to both DSM and external science networks, supporting and co-creating DSM Bright Science image and DSM’s agenda for a sustainable world. DBC uses bright science to create better living through the development of new and improved products for DSM. Located at Delft, The Netherlands within the Genetics Department of the DBC there is a vacancy for the position of: Data Scientist The Challenge · As a Data Scientist, you will be located at the DSM Biotechnology Center in Delft, supporting business-driven R&D projects for end-applications in food, pharma and/or bio-based chemicals and fuels. · You will develop ideas and implement solutions related to statistics and data science to a broad community of researcher scientists and developers and therefore, you will be acting as an enabler in interdisciplinary project teams. · Being part of the bioinformatics & modeling group, you will support the team on statistical and data science topics. · Projects may range from medium to high-throughput screenings for enzyme and strain development, applied biochemistry and analytical data, to QA/QC support for manufacturing, depending on your background and interest. The Ideal You have bachelor or master’s degree in Computational Science, Data science, Bioinformatics, Statistics, or a related discipline. · 2-5 year working experience with data management, processing and analysis, preferably working with biological data or process data. · Experience in performing statistical analysis and with statistical design. · Experience with semantic web technology, machine learning, data mining, distributed computing and/or big data ecosystems (Hadoop, Spark) is a plus. · Preferably you have experience in working with and setting up NoSQL databases (e.g. graph databases, document stores, etc.) and relational databases. · Proficiency in at least one programming language is desired (e.g. R, Python, Java, Matlab, Knime). · You are comfortable working in multinational interdisciplinary teams and preferably, you have already gained international experience. · Personal skills like result oriented, flexibility, problem analysis, creativity and being a strong communicator characterize your identity. The Reward We offer a challenging job with many opportunities for personal input; plenty of room for discussions with fellow professionals and open and pleasant atmosphere. Terms and conditions of employment as well as fringe benefits are up to market standards. Salary depends on your education and experience. The Procedure and Contact Please apply on-line via the careerportal www.dsm.com/careers<http://www.dsm.com/careers> and send us your CV & cover letter in English. Reference check procedures are part of the DSM Recruitment & Selection Process. You will be contacted when these references checks are required. For more information about the role, or procedure you can contact Talent acquisition business partner Evelien Vlap: evelien.vlap(a)dsm.com<mailto:evelien.vlap@dsm.com> . Royal DSM is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. ________________________________ DISCLAIMER: This e-mail is for the intended recipient only. If you have received it by mistake please let us know by reply and then delete it from your system; access, disclosure, copying, distribution or reliance on any of it by anyone else is prohibited. If you as intended recipient have received this e-mail incorrectly, please notify the sender (via e-mail) immediately.

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Bioinformatician NEEDED – Clinical Genomics
by Rosie Lightowler 01 Feb '18

01 Feb '18

Bioinformatician NEEDED – Clinical Genomics Life Sciences Cartwright James is currently representing a Genomics Analysis Company that offers a portfolio of NGS based data analysis platforms. This company is looking for a Bioinformatician to add to their Clinical Genomics team. This position is based in the Netherlands and relocation support can be offered from elsewhere in Europe for the right candidate. Your scientific understanding and knowledge will be used in the context of assembling, configuring, optimizing, and/or implementing NGS pipelines. As the bioinformatician you will also provide scientific consultancy to some their (clinical, (bio)medical) customers as well as various departments within the company. You will also be involved in pre-sales and other activities, to bring new customers on-board by providing expertise on the company’s services. Internally, you will proactively communicate customers’ needs and requirements with product management. The ideal Bioinformatician will have the following traits and skills: • You will have a bioinformatics degree with hands-on experience with bioinformatics tools/algorithms (such as alignment – BWA, variant calling – GATK, Freebayes…). Your profound knowledge in tertiary analysis will be used to set up and run pipelines from scratch (e.g. DNA and RNA-Seq), making use of various programming languages (e.g. Python, Perl, R, Java, Unix/Linux scripting) • You are confident and able to setup NGS pipelines from scratch, in different domains. • A PhD degree is not required, however, you must have working experiences in novel data-driven discovery practices. • First-hand knowledge of the NGS market (clinical, biomedical, food, crops, and/or microbial) is considered as a plus • You are flexible and keen to face customers and are able to successfully handle pre-sales and on-boarding projects. • Astute, confident, and comfortable in asking the right questions, you are truly able to work in a consultative way with clients and to contribute to overall success. • You are keen to work in a multi-disciplinary environment where engineering, development and science come together. • You are able to travel. • Industry experience is considered as a plus • The position demands excellent verbal and written communication skills in English. This is an excellent opportunity for an experienced professional to develop a successful career and have a direct impact on the company’s growth and success. This would be a great match for someone who is looking to move away from a larger business to have more flexibility, or for someone from a small company who is looking for the next step up. Please email Rosie.Lightowler(a)CartwrightJames.com<mailto:Rosie.Lightowler@CartwrightJames.com> if you are interested. Rosie Lightowler Business Manager – Scientific www.cartwrightjames.com<http://www.cartwrightjames.com/> Tel: +44(0) 113 2339 531 Mob: +44(0)7741314678 Email: rosie.lightowler(a)cartwrightjames.com<mailto:rosie.lightowler@cartwrightjames.com> <http://www.cartwrightjames.com/> <https://www.linkedin.com/company/cartwright-james?trk=tyah&trkInfo=clickedV…> Linkedin All business conducted with Cartwright James is under our standard terms & conditions, a copy of which can be viewed by clicking on the following link www.cartwrightjames.com/terms-and-conditions<http://www.cartwrightjames.com/terms-and-conditions/>. The information in this email is confidential and may be legally privileged. It is intended solely for the addressee and access to this email by anyone else is unauthorised. If you are not the intended recipient, any disclosure, copying distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. Cartwright James is a company registered in England and Wales with company number 9692352. Registered Office Ground Floor, No.1 Whitehall Riverside, Whitehall Road, Leeds, LS1 4BN

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Workshop: R2 - Genomics analysis and visualization platform
by r2-support 01 Feb '18

01 Feb '18

Dear Researcher, R2 is a free, publicly accessible web-based genomics analysis and visualization platform (http://r2.amc.nl<http://r2.amc.nl/>) allowing biomedical researchers, without bioinformatics training, to integrate clinical and genomics data. To help researchers get started, the department of Oncogenomics is organizing a 1 day introduction workshop with hands-on training on Monday April 23rd 2018 (09:30-17:00). The workshop will cover the essentials of working with genomics data in R2 and will be an excellent opportunity to learn how to use this versatile tool. If you are: Studying a specific pathway in disease Trying to find biomarkers in specific tissue Investigating the function of a specific protein Involved in any kind of molecular biology Then this workshop may be of interest to you. Every participant will receive a printed tutorial book. Coffee / tea and a simple lunch will be provided during the workshop. If you are interested in participating in the workshop then please visit the R2 website for more information and registration (http://hgserver1.amc.nl/cgi-bin/r2/main.cgi?option=about_intro_workshop ). The workshop is provided free of charge, however, we will have to charge 25 euro (for administation, lunch, printing costs) in case of a no show for the workshop. Best regards, R2-support r2-support(a)amc.nl r2.amc.nl Department of Oncogenomics, M1-132 Academic Medical Center University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam the Netherlands ________________________________ AMC Disclaimer : https://www.amc.nl/disclaimer ________________________________

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PostDoc in Systems Biology (Luxembourg)
by Thomas SAUTER 31 Jan '18

31 Jan '18

The University of Luxembourg invites applications for the following vacancy in the Life Sciences Research Unit of its Faculty of Sciences, Technology and Communication (FSTC) in the Systems Biology Lab. Post doc (Assistant chercheur) in Systems Biology (M/F) * Ref: F1-080013 * 2-year fixed-term contract * Full-time (40 hours/week) * Starting date: As soon as possible Application via: http://emea3.mrted.ly/1ptrm Research area: The research focus is molecular systems biology. In particular, we are interested in the * Development and testing of fast algorithms for modelling signaling networks, within the Probabilistic Boolean modelling framework * Computational analysis of cancer specific signaling networks * Analysis and integration of experimental data in collaboration with biological partners Your Role * The successful candidate will perform research related to the topics of the Systems Biology Laboratory; possible collaborations e.g. with the Luxembourg Centre of Systems Biomedicine and industrial partners. * Participation in teaching activities: Bachelor in Life Sciences / in Integrated Systems Biology / Doctoral School of Molecular and Systems Biomedicine. * Submission of grant proposals and (co-)supervision of Master and PhD students will be encouraged. Your Profile * PhD degree in Bioinformatics or Computational Systems Biology (or equivalent) * Solid background in Bioinformatics and Systems Biology documented by peer-reviewed publications. * Background in the biology of signal transduction is an asset. * Proficient knowledge in English is mandatory. Knowledge of German and/or French is an advantage. We offer * Young team of highly motivated researchers * Modern and well-equipped laboratory * Multidisciplinary international environment Further Information Applications should contain the following documents: * Motivation letter * Curriculum vitae * List of publications * Copies of diplomas * Names of potential references Please apply online by 15/02/2018.: http://emea3.mrted.ly/1ptrm The University of Luxembourg is an equal opportunity employer -- Prof. Dr. Thomas Sauter Professor of Systems Biology Life Sciences Research Unit Université du Luxembourg 6, avenue du Swing L-4367 Belvaux Campus Belval Building Biotech 2 (BT2), Room 4.05 Tél.: +352-46 66 44 6296 Fax: +352-46 66 44 6435 e-mail: thomas.sauter(a)uni.lu<mailto:thomas.sauter@uni.lu> http://bio.uni.lu/research_areas/systems_biology http://misb.uni.lu<http://misb.uni.lu/> http://www.melplex.eu<http://www.melplex.eu/>

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Galaxy User Conference in Freiburg March 15-16
by Frederik Coppens 30 Jan '18

30 Jan '18

Dear all The Freiburg Galaxy team is organizing a Galaxy User Conference 15th to 16th of March 2018. The focus is on gathering interesting talks from the Galaxy community about their applications and use cases of Galaxy, and learn from each other. We also want to take this opportunity to kickstart the ELIXIR <https://www.elixir-europe.org/> Galaxy Community. We started a Galaxy Working group <https://www.elixir-europe.org/about/groups/galaxy-wg> a few years ago, which has now matured into an ELIXIR Community. If you are using Galaxy, do consider attending this meeting. Registration is free. You can find more information and the link to register here : https://usegalaxy-eu.github.io/galaxy-freiburg/events/2018-03-15-ELIXIR-Gal… cheers Frederik Frederik Coppens - Project leader & IT manager Applied Bioinformatics And Biostatistics I.T. Support VIB-UGent Center for Plant Systems Biology Ghent University Technologiepark 927 - 9052 Ghent - Belgium Tel. +32(0)9 331 38 12 www.psb.ugent.be <http://www.psb.ugent.be/>

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[Gtpb] CPANG18 - Computational PANgenomics - Course Announcement
by GTPB Administration 30 Jan '18

30 Jan '18

ANNOUNCEMENT CPANG18 Computational PANgenomics with Tobias Marschall and Erik Garrison The GTPB is proud to announce that the above referenced hands-on training course is open for applications IMPORTANT DATES for this Course Deadline for applications: February 23rd 2018 Course date: March 6th - March 9th 2018 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course Description Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation as the number of sequenced genomes grows. In particular, they tend to bias us away from the observation of variation in the genomes we study. A general solution to this problem is to use a pangenome that incorporates both sequence and variation from many individuals as our reference system. This pangenome is naturally modeled as a graph with annotations, and can provide all the functionality traditionally provided by linear reference genomes. Unlike linear reference genomes, a pangenome readily incorporates both small and large variation, allowing bias-free genotyping at known alleles. In this course we will explore the use of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types. Such techniques will aid any researcher working on organisms of high genetic diversity or on organisms lacking a high-quality reference genome. This course targets all researchers interested in learning about an exciting paradigm shift in computational genomics. Objectives Participants first will learn about limitations of linear reference-based methods and work through a brief refresher or introduction to standard approaches for processing sequencing data, including read alignment and variant calling. Provided these motivating examples, we will use data from a variety of relevant sources to develop an intuition about pangenomic methods and a practical familiarity with applicable tools. More information, and access to the application process here: http://gtpb.igc.gulbenkian.pt/bicourses/2018/PANG18 Ref: Computational pan-genomics: status, promises and challenges The Computational Pan-Genomics Consortium Author Notes Briefings in Bioinformatics, Volume 19, Issue 1, 1 January 2018, Pages 118135, https://doi.org/10.1093/bib/bbw089 (OPEN ACCESS) Hoping that this course meets your interests, Pedro Fernandes -- Pedro L Fernandes Bioinformatics Training Coordinator Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt -- The Gulbenkian Training Programme in Bioinformatics General Office Rua da Quinta Grande, 6 2780-156 OEIRAS Portugal _______________________________________________ GTPB mailing list GTPB(a)igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb

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PostDoc in Bioinformatics / Biostatistics (Luxembourg)
by Enrico Glaab 29 Jan '18

29 Jan '18

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