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ambitious PhD candidate to join the Efremov Lab at the VIB Center for Structural Biology (VIB-CSB) as part of the newly funded Marie Skłodowska-Curie Doctoral Network ANA-KIN. This position offers a unique
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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must be ranked favorably by both CCB and Oncology. Research You will lead a ground-breaking scientific program addressing basic research questions with a pronounced translational potential. You have a
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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
If you have any questions about the position, please do not hesitate to contact Stein Aerts ([email protected] ) Science director at VIB.AI. About the VIB Center for AI & Computational Biology VIB
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turn breakthrough biotech into investable businesses within 18 months, through funding, hands-on support, and access to a strong ecosystem. We’re looking for a Programme Associate to join our small
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turn breakthrough biotech into investable businesses within 18 months, through funding, hands-on support, and access to a strong ecosystem. We’re looking for a Programme Associate to join our small
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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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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and