53 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at VIB in Belgium
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neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR-based screens and methodologies to generate
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collaboration with the Flemish government and the BIOVIA cluster organisation, VIB is recruiting a Program Manager for a 2 year fixed term appointment. ⃰ More info on the program can be found here (in Dutch
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in vitro and in living cells The applicant will benefit from access to centralized facilities (in particular Nanobody technology, proteomics, cutting-edge microscopy and structural biology). Please
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trips. You will organize the program for visitors. You will welcome visitors and new employees. You will provide support for all practical and organizational steps for events and for the PhD students
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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management Lead a complex, multi-year change program affecting multiple locations and professional communities; Design and facilitate diagnostic workshops to map current practices, identify
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microscopy, structural biology, technology development, and bioinformatics. VIB provides a highly interactive environment and ample training opportunities for its researchers. In addition, the VIB-UAntwerp
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(www.uhasselt.be/en/who-is-who/sophie-hendrix ) and A. Cuypers (www.uhasselt.be/en/who-is-who/ann-cuypers ) have expertise in molecular plant physiology, redox biology, and biosensor technology. At VIB-UGent, I. De
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems