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additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu . Basic Qualifications Doctoral degree. Applicants background may include studies in: Computational
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the position description. ● Work with large, high-dimensional datasets. ● Lead and contribute to manuscripts for high-impact journals (e.g., top Statistics journals and Nature-like journals). ● Present findings
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inference pipelines for health effects and adaptation policy evaluation. Work with large, high-dimensional datasets (Medicare claims, census, weather, pollution, and related data), including data
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for opportunities abroad. These grants present an excellent opportunity for recently minted scholars to deepen their expertise, to acquire new skills, to work with additional resources, and to make connections with
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or risky projects. The program offers one to two year fellowships to mid- to late-stage postdocs who have completed at least two years of full time postdoctoral work in their current lab and who
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, and creative academic research environment alongside graduate student trainees; and who want to help shape the research trajectory of a newly established lab in an exciting and growing field. Our work
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, and light scattering) with modeling of light transport. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical
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/administrative datasets ● Environmental, climate, or air pollution exposure data ● Causal inference methods Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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invite applications from postdoctoral candidates with backgrounds in neurobiology, glycobiology, immunology, and biochemistry. Ideally, the candidate will have experience with mouse work, surgeries