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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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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
assignments (in English or in Dutch). You ensure high-quality education, with a clear commitment to the quality of the program as a whole. You also contribute to the pedagogic project of the university through
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faculties (in English or in Dutch). You ensure high-quality education, with a clear commitment to the quality of the program as a whole. You also contribute to the pedagogic project of the university through
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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imaging and high-performance computing facilities Challenging work in a rapidly evolving field The opportunity to be part of a dynamic, interdisciplinary and international team Ample opportunity to learn
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practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD