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of inflammatory diseases, and the VIB Center for AI & Computational Biology , a young, ambitious center whose research groups address biological questions through the lens of AI. About the role We have developed
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At VIB, science changes lives. Every year, more than 4000 scientists from across the world attend our internationally renowned conferences, summer schools, and training activities. As a Training and
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may facilitate eligibility for certain competitive funding opportunities. Relevant experience (e.g., molecular biology, cellular physiology, neuroscience, animal behavior, computational methods, etc
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, and the VIB Center for AI & Computational Biology , a young, ambitious center whose research groups address biological questions through the lens of AI. About the role The lab is looking for a wet-lab
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innovations and the biological discoveries they enable Your profile You have: a PhD in engineering, computer science, mathematics or a related field a strong background and proven experience in machine learning
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computational design tools to engineer novel membrane proteins, then validate these designs experimentally, with the goal of integrating them into functional devices at the biology–electronics interface. Research
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Network bringing together leading groups in structural biology, chemical biology, computational biology, drug discovery, and cell biology. Doctoral candidates will benefit from: International secondments
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environment The laboratory of Dr. Anastassia Vorobieva at the VIB–VUB Center for Structural Biology (co-affiliated with the VIB Center for AI & Computational Biology) pioneers methods for the de novo design
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, electrical or robotics engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant
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the mechanisms of brain function and neurological disease across the scales of biology, spanning neurodegeneration, neurodevelopment, synaptic biology, and computational neuroscience. AI and large language models