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understanding of the biology that underlies cancer initiation, progression and metastatic dissemination with the ultimate goal to develop more effective and specific anti-cancer (combination) therapies. KU Leuven
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of the biology that underlies cancer initiation, progression and metastatic dissemination with the ultimate goal to develop more effective and specific anti-cancer (combination) therapies. KU Leuven is the
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(Group Leader at VIB and Professor at KU Leuven, Dept. Human Genetics). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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high-quality results You will prepare and write technical reports to record data and/or results You stay up-to-date with emerging technologies in next gen sequencing, genomics, and transcriptomics
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meaningful role in an international research environment at the intersection of science, event management, and education A permanent contract (80–100% employment) Flexible working hours and hybrid working (up
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work closely with and support the leadership teams at both Centers. Key tasks & responsibilities 1. Communications support Develop and execute a national and international strategic communication plan
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environment at the intersection of science, event management, and education A permanent contract (80–100% employment) Flexible working hours and hybrid working (up to 2 days per week remote) A competitive
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions