47 computer-science-intern "https:" "https:" "https:" "https:" "P" positions at Nature Careers in Belgium
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a leading research institute focused on understanding cancer biology and developing innovative therapies. Our Bioinformatics & AI Expertise Unit provides advanced computational support to multiple
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the complementary skill area. Our offer A vibrant, world-class research environment operating at an international level Access to the resources of two host institutions: VIB, an excellence-based research institute KU
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) and ATTR (transthyretin) amyloidosis are the most common systemic forms, with distinct molecular origins but shared mechanisms of extracellular amyloid deposition and tissue damage. Our research program
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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activities to promote SnT's research and citizen science initiatives Your profile... A Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related fieldA strong background in
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Leuven, Belgium l Deadline to apply: 30 April 2026 About us The VIB–KU Leuven Center for Cancer Biology (CCB) is a leading research institute focused on understanding cancer biology and developing
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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Qualification: The candidate should possess an Ph.D. degree or equivalent in Telecommunications and Computer Science Experience: The successful candidate should have proven experience (in terms of high-ranking
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems