24 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at VIB in Belgium
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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leading research institute focused on understanding cancer biology and developing innovative therapies. Our Bioinformatics & AI Expertise Unit provides advanced computational support to multiple research
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sciences related defence innovation. Opportunity to gain experience in ecosystem development and program management. Flexible work arrangements Dynamic, multi-stakeholder environment with international
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team. Role Overview VIB DS is seeking a highly experienced Senior Scientist in Medicinal Chemistry with expertise in Computational Drug Discovery. This individual will bring both broad drug discovery
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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computational approaches and experimental biology is essential. We therefore aim to establish a dedicated Technology & Wet Lab Unit that will streamline the generation of high-quality training data and enable
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the criteria of KU Leuven (more information available here ). Relevant experience (e.g., molecular biology, cellular physiology, neuroscience, animal behavior, computational methods, etc.) is a plus. Candidates
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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 to plant phenotyping (assessing e.g
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental