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Description The Harvard Training Program in Mental Health Services and Policy Research, based at Harvard Medical School’s Department of Health Care Policy and affiliated with Harvard’s interfaculty PhD Program
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-U.S. citizens with a valid U.S. visa are
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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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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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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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. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social
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. Scanning Electrochemical Cell Microscopy: A Natural Technique for Single Entity Electrochemistry. O. Wahab, M Kang, P Unwin. Curr, Op. in Elec. 2020, 22, 120-128. Basic Qualifications PhD or equivalent
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
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research laboratory) at the time of application and must not be more than 5 years from his/her PhD. Deadline Month: January Description: The Postdoctoral Enrichment Program (PDEP) provides three years