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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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quality, automation, governance and maintainability. Our current data platform is built around Microsoft Fabric and related Microsoft technologies, while strong data engineering principles and the agility
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quality, automation, governance and maintainability. Our current data platform is built around Microsoft Fabric and related Microsoft technologies, while strong data engineering principles and the agility
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operates in close partnership with the five universities in Flanders. The ICT department at VIB ensures that technology, information, and data are managed securely and efficiently. Our focus includes
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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in close partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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have transformative potential across these research areas. We are now looking for an LLM Engineer in a shared position between VIB.AI's Machine Learning Expertise Unit and the Center for Neuroscience
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have transformative potential across these research areas. We are now looking for an LLM Engineer in a shared position between VIB.AI's Machine Learning Expertise Unit and the Center for Neuroscience
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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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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art