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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Computer Science and Dept. Electrical Engineering Employer VIB Location Leuven Closing date 10 Nov 2026 View more categories View less categories Discipline Life Science Job Type Research Assistant
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 11 Sep 2026
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mechanical, 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
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, associate professor, professor or full professor) at KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly interested in recruiting faculty members who use and develop
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reports or isolated use cases. Reporting to the Data Analytics and Reporting Architect, you will contribute to the continued development of our data platform and engineering practices, including data
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isolated use cases. Reporting to the Data Analytics and Reporting Architect, you will contribute to the continued development of our data platform and engineering practices, including data quality
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Postdoc in Harness, Swarm and Memory Engineering for Computational Biology Ghent VIB Center for AI & Computational Biology Post-doctoral Posted Date 18 Sep 2026 Locations Ghent Center VIB Center for
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc in Harness, Swarm and Memory Engineering for
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areas is essential. Depending on your profile, you will: Learn and apply the complete screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods
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behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering