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including a hospitalization insurance, pension plan, eco-cheques, bike allowance if you commute by bicycle or full reimbursement for public transport commuting A generous annual leave policy to create a good
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academic environment that encourages collaboration with top experts in biology, especially within the field of computational biology, at VIB and KU Leuven. New open-design state-of-the-art research space
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
academic environment that encourages collaboration with top experts in biology, especially within the field of computational biology, at VIB and KUL. New open-design state-of-the-art research space. Access
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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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, dynamics, and function of macromolecular complexes involved in health and disease. VIB combines excellence in fundamental research with exceptional opportunities for innovation and technology transfer
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phenotyping (assessing e.g. plant body form, color, and landmarks). Therefore, we require a team player who also possesses the ability to work independently. Key Responsibilities Design, plan and implement a 3D
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phenotyping (assessing e.g. plant body form, color, and landmarks). Therefore, we require a team player who also possesses the ability to work independently. Key Responsibilities Design, plan and implement a 3D
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, driven team. This is a hands-on role ideally suited for early-career professionals looking to build a career at the intersection of biotech, entrepreneurship, and innovation. Your role You’ll play a
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We are seeking a motivated PhD student with a background in protein engineering, structural biology, chemistry or biophysics to join our efforts in designing and characterizing membrane proteins
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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