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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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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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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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trainings, conferences, summer schools and personal development initiatives, tailored to the needs of scientists across the globe. About the role As a Events Officer within the Training & Conferences team
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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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(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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trainings, conferences, summer schools and personal development initiatives, tailored to the needs of scientists across the globe. About the role As a Training and Conferences Officer within the Training
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evolution, polyploidy, and algal biology and evolution. The candidate will join a highly collaborative and international research environment, with strong connections to major polyploidy initiatives
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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