53 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at VIB
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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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established collaborations and access to centralized facilities with expertise in genomics, functional genomics and cell biology, proteomics, cutting-edge microscopy, structural biology, technology development
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to integrate immunology, stem cell technology, and Parkinson’s biology. Supervise junior colleagues, contribute to grant writing, and disseminate findings through high-impact publications. Requirements PhD in
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Description We are seeking a motivated new PhD candidate or Postdoctoral Fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
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://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 Profile Master’s in bio-engineering, medicine, molecular biology, immunology, or related FELASA certification Experience in either
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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is to integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at
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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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science, computational biology, statistics, or a related field. Strong experience with large language models, including pretraining, fine-tuning, prompt engineering, and evaluation. Knowledge of modern deep learning
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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