- BBClist - maillist.psb.ugent.be

postdoc in machine learning for structure-based virtual screening
by Pedro Ballester 02 Nov '20

02 Nov '20

Dear all, I will like to inform you that a postdoc position in machine learning for structure-based virtual screening is available in my lab. Further information and how to apply at https://doctorat.campusfrance.org/en/CF202018350 Best regards, Pedro -- ©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤© Dr. Pedro J. Ballester Group Leader at the Cancer Research Centre of Marseille (CRCM) Research scientist at INSERM <http://crcm.marseille.inserm.fr/en/researchteams/pedro-ballester/> http://crcm.marseille.inserm.fr/en/researchteams/pedro-ballester/ <https://publons.com/researcher/975063/pedro-j-ballester/> https://publons.com/researcher/975063/pedro-j-ballester/ ©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©¤©

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BSC: Life Sciences vacancy
by BSC Human Resources 02 Nov '20

02 Nov '20

Dear all, We would like to inform you about a new job opportunitiy offered by Barcelona Supercomputing Center: - Post-doc Researchers in Computer Science and Bioinformatics (R2). Deadline: 16 December, 2020 Link here <https://www.bsc.es/join-us/job-opportunities/35720lsiconbir2> We would appreciate that you share the information with your contacts. Sincerely, /Human Resources/* Barcelona Supercomputing Center – Centro Nacional de Supercomputación* Tel. +34- 934137745 <mailto:anais.delastre@bsc.es>www.bsc.es <http://www.bsc.es/> http://bsc.es/disclaimer

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PhD Candidate Tumor Heterogeneity in Acute Myeloid Leukemia
by Erik van den Akker 02 Nov '20

02 Nov '20

THE POSITION We are looking for a highly motivated candidate for a PhD project in Computational Oncology at the department of Biomedical Data Sciences. This project focusses on modelling tumor heterogeneity and discerning drivers of clonal evolution and therapy resistance by analyzing single-cell data on material derived from patients with acute myeloid leukemia. IN SHORT • You will work on integrative computational methods to discern, characterize and trace different clonal lines present within tumors • You will work in a multi-disciplinary environment ranging from data science to translational oncology within the recently established Leiden Center for Computational Oncology • You will disseminate your work by writing scientific manuscripts and presenting your research at international conferences. The combination of this work will lead to a PhD title WHAT YOU WILL DO Acute myeloid leukemia (AML) is a cancer of the myeloid immune lineage and represents about 1.2% of all new cancer cases. AML typically affects elderly patients, with only 5-15% of the patients above age 60 achieving a durable remission. Promising treatments are steadily released, with yet unknown resistance mechanisms. Hence, within this project, you will conduct integrative analyses using various types of single-cell molecular data sources to identify mechanisms driving clonal evolution and therapy resistance. Within the newly established Leiden Center for Computational Oncology, acute myeloid leukemia was chosen as one of the projects to spearhead the development of novel computational tools that provide more insight into tumor heterogeneity and tumor evolution under therapeutic pressure. The activities of the PhD candidate are purely computational and will be embedded within the Leiden Computational Biology Center (prof. M. Reinders), and the department of Hematology (prof. H. Veelken, MD). WHAT WE ASK You hold a MSc degree in Bioinformatics, Statistics, Life Sciences, or a similar area. You possess a strong background in data analytics, have hands-on experience with applying machine learning methods, and you are familiar with scripting languages such as R or Python. Knowledge of genetic analyzation and transcriptomic studies are favored but not required. You enjoy the pursuit of knowledge across multiple field, and you have an optimistic and kind nature. INTERESTED? Please send your CV and motivation letter (deadline November 15th) to: https://lumc.recruitee.com/l/en/o/phd-candidate-tumor-heterogeneity-in-acut… Kind regards, Erik van den Akker Leiden University Medical Centre Molecular Epidemiology <http://www.molepi.nl/en/people/people_item/t/erik_van_den_akker> Einthovenweg 20, 2333 ZC, Leiden, The Netherlands Building 2 [Research], Room S5-38 tel: +31 (0)71 526 85 57 Delft University of Technology Delft Bioinformatics Lab <https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems…> Van Mourik Broekmanweg 6, 2628 XE, Delft, The Netherlands Building 28 [WI], Room W5.820 tel: +31 (0)15 278 55 17

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PhD Candidate Patient Sub-stratification in Acute Myeloid Leukemia
by Erik van den Akker 02 Nov '20

02 Nov '20

THE POSITION We are looking for a highly motivated candidate for a PhD project in Computational Oncology at the department of Biomedical Data Sciences. This project focuses on the integrative analysis of multiple types of omics data to improve diagnosis, prognosis and predicted treatment outcomes of patients with acute myeloid leukemia. IN SHORT • You will work on the deep molecular characterization of acute myeloid leukemia, to identify clinically relevant sub-entities of the disease, actionable determinants of treatment resistance and potential targets for immuno-therapy • You will work in a multi-disciplinary environment ranging from data science to translational oncology within the recently established Leiden Center for Computational Oncology • You will disseminate your work by writing scientific manuscripts and presenting your research at international conferences. The combination of this work will lead to a PhD title WHAT YOU WILL DO Acute myeloid leukemia (AML) is a cancer of the myeloid blood lineage that typically affects elderly patients. Current efforts for a personalized prognosis and treatment focus on the detection of just a few genetic aberrations, thereby ignoring the overwhelming evidence that AML is mostly driven by epigenetic and metabolic factors. Within the newly established Leiden Center for Computational Oncology, acute myeloid leukemia was chosen as one of the projects to spearhead the development of novel computational tools that support personalized medicine beyond the 'one-mutation one-drug' paradigm. Hence, within this project, you will be employing molecular data created from clinical material to capture multiple regulatory levels (genetics, transcriptomics, metabolomics, proteomics) to improve patient stratification, prediction of treatment responses and identification of novel therapeutic targets. The activities of the PhD candidate are purely computational and will be embedded within the Leiden Computational Biology Center (prof. M. Reinders), and the department of Hematology (prof. H. Veelken MD). WHAT WE ASK You hold a MSc degree in Bioinformatics, Statistics, Life Sciences, or a similar area. You possess a strong background in data analytics, have hands-on experience with applying machine learning methods, and you are familiar with scripting languages such as R or Python. Knowledge of genetic analysis and transcriptomic studies are favored but not required. You enjoy the pursuit of knowledge across multiple fields, and you have an optimistic and kind nature. INTERESTED? Please send your CV and motivation letter (deadline November 15th) to: https://lumc.recruitee.com/l/en/o/phd-candidate-patient-substratification-i… Kind regards, Erik van den Akker Leiden University Medical Centre Molecular Epidemiology <http://www.molepi.nl/en/people/people_item/t/erik_van_den_akker> Einthovenweg 20, 2333 ZC, Leiden, The Netherlands Building 2 [Research], Room S5-38 tel: +31 (0)71 526 85 57 Delft University of Technology Delft Bioinformatics Lab <https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems…> Van Mourik Broekmanweg 6, 2628 XE, Delft, The Netherlands Building 28 [WI], Room W5.820 tel: +31 (0)15 278 55 17

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Bioinformatics job
by aditi choudhry 01 Nov '20

01 Nov '20

Dear sir/madam, My name is Aditi Choudhry, I live in the Netherlands. Currently I am looking for a bioinformatics job, I graduated in August 2020 eversince I have been trying to find a job that fits my profile. To give you a clear picture about my educational background and experience I have attached my resume. Hopefully you can help me out. Best regards, Aditi

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Training on Deep Learning for Life Sciences & Health
by Marques Neves, A.R. 29 Oct '20

29 Oct '20

Helis Academy: Training on Deep Learning for Life Sciences & Health On the 25th of November 2020, Helis Academy and TU/e will organize an online course on Deep Learning for Life Sciences & Health. This online program provides the opportunity to get insights on theory, current practice in industry and expected possible future practice in industry within just one day, right from behind your own PC. At the end of the training, you should be able to understand basic principles of machine learning and deep learning. Selected examples of applications for medical image analysis will also be discussed. More information and registration is available here: https://helisacademy-trainingondeeplearning2.eventbrite.nl. [A picture containing text Description automatically generated] Kind regards, [Eindhoven University of Technology] Rita Neves, M.Sc. Researcher | Eindhoven University of Technology | Department of Mathematics and Computer Science M: +351 914 878 562 | +31 (0)6 838 33 047<tel:+351%20914%20878%20562%20|%20+31%20(0)6%20838%2033%20047> E: a.r.m.marques.neves(a)tue.nl<mailto:a.r.m.marques.neves@tue.nl> A: Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven [https://img.mysignature.io/s/v3/0/d/a/0da47aae-d980-5ecc-919d-f6cbbc5bd6e2.…]<https://www.linkedin.com/in/rita-neves/>

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TranSYS Online Training School, taking place on 22nd – 27th November 2020
by Kristel Van Steen 23 Oct '20

23 Oct '20

** please spread the word ** -- Dear, We are pleased to invite you to the *TranSYS Online Training School*, taking place on 22^nd – 27^th November 2020 hosted by University of Ljubljana, Slovenia. The *training is free *but registration is mandatory. Our first training school offers researchers and students broad training opportunities in scientific and transferable skills such as study design & protocol, data generation & technology, mining of published data, and communication & dissemination and includes the featured workshop /From experiment to clinic/. Students and postdocs are invited to participate with abstracts for a poster or oral presentation. TranSYS is an EU Marie Sklodowska-Curie funded Innovative Training Network dedicated to training highly skilled researchers in the new area of Systems Health, at the interface of translational research and systems medicine. Our researchers will develop tools and approaches to exploit large and complex datasets to advance Precision Medicine in human disease areas. More information is available at https://h2020transys.eu/transys-online-training-school-november-2020/ Looking forward to e-meeting you, Kristel Van Steen, TranSYS Coordinator -- Prof Dr Dr KRISTEL VAN STEEN http://bio3.giga.ulg.ac.be/ +32(0)485766597 -- CME - Center for Human Genetics - Systems Medicine Lab http://gbiomed.kuleuven.be/apps/cme/ -- GIGA-R, Medical Genomics - Systems Genetics Lab https://www.giga.uliege.be ---------------------------------------------------------

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data analysis engineer position in a neuroscience lab.
by patrick Laurent 23 Oct '20

23 Oct '20

please spread around this offer thanks a lot patrick Patrick Laurent, PhD Principal Investigator FNRS ULB Institute for Neuroscience (UNI) Lab of neurophysiology, Building C, Level 3, Room 143 Universite Libre de Bruxelles (ULB), Campus Erasme 808 route de lennik, 1070 Brussels, Belgium http://celegans.ulb.ac.be/wordpress/

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Position available for a Data Engineer – Artificial Intelligence applications in Oncology at the Netherlands Cancer Institute
by j.t.hoeve＠nki.nl 23 Oct '20

23 Oct '20

Dear all, At the Netherlands Cancer Institute we have a position available for a Data Engineer – Artificial Intelligence applications in Oncology. https://www.nki.nl/working-at-the-nki/data-engineer-ai-applications-in-onco… Sharing is greatly appreciated. Kind regards, Jelle ten Hoeve Coordinator Data Management Roles in various IT projects, Information Security Officer, Privacy Officer and Institutional Review Board member [cid:image001.jpg@01D5F783.DD97D7B0] j.t.hoeve(a)nki.nl<mailto:j.t.hoeve@nki.nl> | +31 (0)20 512 6909 Research IT | The Netherlands Cancer Institute | Plesmanlaan 121 | 1066 CX Amsterdam | The Netherlands Dit e-mailbericht is uitsluitend bestemd voor de geadresseerde(n). Als dit bericht niet voor u bestemd is, wordt u vriendelijk verzocht dit aan de afzender te melden. Het Antoni van Leeuwenhoek (AVL) staat door de elektronische verzending van dit bericht niet in voor de juiste en volledige overbrenging van de inhoud, noch voor tijdige ontvangst daarvan. Voor informatie over het AVL raadpleegt u www.avl.nl<http://www.avl.nl>. This e-mail is intended for the addressee(s) eyes only. If you are not the intended recipient, you are hereby kindly requested to inform the sender of this. In view of the electronic nature of this communication, The Netherlands Cancer Institute (NKI) is neither liable for the proper and complete transmission of the information contained therein nor for any delay in its receipt. For information about the Netherlands Cancer Institute, go to www.nki.nl<http://www.nki.nl>.

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Helis Academy Course Statistical Data Analysis with Jamovi
by Dupuis, Lauren (BIGCAT) 20 Oct '20

20 Oct '20

Dear colleague, On the 20th of November 2020, Helis Academy and TU/e will organize an online course on Statistical Data Analysis with Jamovi. This online program provides the opportunity to get insights on theory, current practice in industry and expected possible future practice in industry within just one day, right from behind your own PC. At the end of the training, you should be able to perform basic data analysis with Jamovi independently and discuss and report the results obtained in an adequate way. More information and registration is available here: https://helisacademy-trainingonstatistics.eventbrite.nl<https://helisacademy-trainingonstatistics.eventbrite.nl/> Kind regards, Helis Academy Data Analysis and Stewardship ?

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