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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
(Group Leader at VIB and Professor (assistant professor, associate professor, professor or full professor) at KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly
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Application deadline: November 15, 2026 | Start date: 2027 The VIB Center for AI & Computational Biology (VIB.AI ) and KU Leuven is searching for a Principal Investigator to join their faculty
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Ghent, Leuven, Antwerp and Brussels, we conduct pioneering research in molecular biology and biotechnology. By connecting scientific talent, cutting-edge technology and entrepreneurial thinking, we
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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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, 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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across Ghent, Leuven, Antwerp and Brussels, we conduct pioneering research in molecular biology and biotechnology. By connecting scientific talent, cutting-edge technology and entrepreneurial thinking, we
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(ML) Engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an ML Engineer, you will: Develop and deploy ML solutions in close collaboration with researchers across VIB centers
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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
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profile You have: a Master degree in engineering, computer science, mathematics or a related field a strong background in machine learning and AI (deep learning, LLMs, computer vision) strong proficiency in
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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