221 high-performance-computing-postdoc Fellowship research jobs at Harvard University
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updates at internal meetings, and contribute to recommending next steps for experiments. Take an active role in strategy discussions related to projects. Maintain a high level of expertise through
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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neurodegenerative processes. Responsibilities: Conduct biochemical, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments
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University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry and Machine Learning, with a focus on studying geometric structures in data and
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Details Title Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Molecular and Cellular Biology Position Description A postdoc position is immediately available in the Uchida
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, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments to study the roles of microglia and oligodendrocytes in
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and genomics. Responsibilities: 1. Conduct research in neuroscience using in vivo and in vitro models. 2. Publish and present research findings in high-quality scientific journals and conferences. 3
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simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis. Assess and validate sensor performance with real samples; ensure data