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development Identify, evaluate, and implement cutting-edge methodologies (e.g., single-cell sequencing, spatial transcriptomics, CRISPR screens, PDX/organoid models) relevant to pediatric cancer biology
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multidisciplinary project funded by the Wellcome Trust, investigating how branching morphogenesis scales across species. The Research Assistant will work closely with the PhD students, collaborators and postdocs in
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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Research FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements Hold a PhD in Biomedical Sciences or a related discipline. Proven research experience in genetic engineering, molecular
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undergone in the murine model using an experimental influenza vaccine that has already been developed in our laboratory using antigens derived from the H1N1/PR8 influenza strain. Candidate profile: We
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 17 days ago
investigations of meteorites as well as numerical modeling onstate-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f/m
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
researchers and educators. Position Summary The Department of Mathematics at the University of North Carolina at Chapel Hill invites applications for a postdoctoral position in the Cardiovascular Modeling and
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employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine