50 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at VIB in Belgium
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leading research institute focused on understanding cancer biology and developing innovative therapies. Our Bioinformatics & AI Expertise Unit provides advanced computational support to multiple research
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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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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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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for Cancer Biology: https://www.vibcancer.be VIB Center for AI and Computational Biology: https://vib.ai/ For questions: jonas.demeulemeester@kuleuven.be KU Leuven and VIB aim to be inclusive, respectful and
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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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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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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(Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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