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Field
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Imaging Across Species The position is suitable for part-time work. About the Project The project aims to unravel complex interactions between the brain and the cardiovascular system using advanced MRI
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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for therapeutic intervention. Initially focused on tools to study human protein complexes, the lab has expanded to novel screening platforms in human cells for applications such as Deep Mutational Scanning and
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. The position will focus on answering questions related to the biological impact of environmental exposures on health outcomes and the candidate will be expected to analyze complex epidemiologic datasets and
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and collaboration, we explore the Universe, the Earth and the complex systems linking environment, energy and society – enabling knowledge-based solutions for a sustainable future. At the Division
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evolutionary cell biology. Our ERC-funded project uses pigment cells in tropical cichlid fishes as a powerful model to uncover how complex cellular phenotypes and developmental programs evolve. We integrate
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field of molecular and 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
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: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy
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trauma practice, caring for children with a wide spectrum of common and complex hand conditions as well as traumatic musculoskeletal injuries. The role is a full-time faculty appointment at the rank
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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations