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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
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About us The VIB-KU Leuven Center for Neuroscience is part of the VIB Life Sciences Institute and embedded within the University of Leuven. We are now recruiting a postdoctoral researcher to join the Flemish Cognitive Compass Project, a multidisciplinary collaboration between VIB and the...
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About us The VIB-KU Leuven Center for Neuroscience is part of the VIB Life Sciences Institute and embedded within the University of Leuven. We are now recruiting a postdoctoral researcher to join the Flemish Cognitive Compass Project, a multidisciplinary collaboration between VIB and the...
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
considered at junior or more senior levels assuming relevant experience in foundational machine learning research and/or applied machine learning in an academic and/or industrial setting (post-doctoral
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considered at junior or more senior levels assuming relevant experience in foundational machine learning research and/or applied machine learning in an academic and/or industrial setting (post-doctoral
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organizes social activities, networking and upskilling events, and an annual PhD Symposium. Curious to know more? Learn all about what it means to start a PhD at VIB in our PhD Guidebook , written
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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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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with