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-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large
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voltage imaging and targeted optogenetic stimulation in larval zebrafish. The system will combine a high-speed light-sheet microscope, a two-photon holographic stimulation system, and software
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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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. Specifically, our core technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging method for probing electrochemical processes at nanoscale sites on complex electrodes. We
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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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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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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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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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. Julia Mundy at [email protected] Basic Qualifications PhD or expected completion soon, in chemistry, physics, materials science, chemical engineering, or a related field, with strong experience in
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning