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omics, label-free microscopy, in vivo screens, and foundational models. The ideal candidate for this role has a strong foundation in both experimental and computational sciences, but exceptional
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imaging modalities and tasks. Their ability to perform well with limited labeled data and adapt quickly to new clinical scenarios makes them a powerful tool for advancing AI-driven diagnostics and improving
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Research Fellow Position in the Yale Depression Research Program as part of the Department of Psychiatry Introduction of School/Department The Yale Department of Psychiatry provides the highest
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organic synthesis. The project will expand your synthetic skills and provide you with expertise in organometallic chemistry and isotope labelling. Opportunities to explore other areas, such as catalysis
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offices or duties appropriate to the appointment if asked to do so. Candidates will be expected to be able to teach one or more outline papers in Part IA as well as one or more topic papers in Part IB, and
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on privacy-preserving techniques and real-world deployment. Develop and evaluate federated models that operate under positive-label-only constraints on local devices, focusing on scenarios where user templates
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environmental epidemiology research team at LSHTM to work on the new HEARTH project: National hub on net zero, health and extreme heat, which is funded by UKRI and NIHR. This is an exciting opportunity to be part
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environmental epidemiology research team at LSHTM to work on the new HEARTH project: National hub on net zero, health and extreme heat, which is funded by UKRI and NIHR. This is an exciting opportunity to be part
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, comprehensive mouse models for: 1) real-time labeling and lineage tracing 2) inducible and cell type-specific knockout & over-expression 3) inducible deletion of a specific population. We constantly integrate