52 computer-engineering-"https:"-"https:"-"https:"-"https:"-"CNRS-LMA" positions at VIB
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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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these areas Your profile Excited to bring biology into the agentic era Broad interest across biological domains is a must PhD in computational biology, computer engineering, computer science, (bio
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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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these areas Your profile Excited to bring biology into the agentic era Broad interest across biological domains is a must PhD in computational biology, computer engineering, computer science, (bio
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17 Sep 2026 Job Information Organisation/Company VIB Research Field Biological sciences Neurosciences Medical sciences Computer science Technology » Biotechnology Researcher Profile First Stage
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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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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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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 and
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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