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Details Title Postdoctoral Research Position in AI for Healthy Climate Adaptation School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description Position
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interests and qualifications, and arrange for three letters of recommendation. Additional Qualifications Special Instructions Letters of reference should be submitted by three “referees” and must be received
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, and quantum information. Candidates should also arrange for letters of recommendation to be submitted by three scientists familiar with their work. Candidates may also wish to include selected preprints
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letter, CV, list of publications, and a statement of research interests and qualifications, and arrange for three letters of recommendation to be sent directly. Applications that are complete by December 4
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their microscopic world. We study how microbes adapt to their ever-changing environment, using simple and complex survival strategies. We hope to deeply understand how bacteria react and respond to stress and use
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of machine learning and science. Areas of particular interest include: foundation model training, evaluation, scaling, and adaptation agentic workflows, tool-augmented models, and AI systems bespoke scientific
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of particular interest include: foundation model training, evaluation, and adaptation time-series modeling transformers, autoencoders, and dynamical systems models modeling brain circuits and neural activity from
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following areas: foundation model training, evaluation, and adaptation protein structure modeling and docking cell state prediction from large-scale perturbation datasets multimodal modeling for protein
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of methodologies suited for simulations of biological systems, including DNA and histone interactions. Candidates should also arrange for letters of recommendation to be submitted by up to three scientists familiar
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, and quantum information. Candidates should also arrange for letters of recommendation to be submitted by three scientists familiar with their work. Candidates may also wish to include selected preprints