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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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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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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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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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and associated health impacts. ● Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences). ● Present findings in internal meetings
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in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students on interdisciplinary research projects. 4. Contribute to the preparation of research
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materials science. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students on interdisciplinary research projects
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). Additional Information Term: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. Standard
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Fulbright U.S. Scholar Postdoctoral/Early Career Grants Eligibility: US citizenship required. Deadline Month: Various, announced February Description: The Fulbright U.S. Scholar Program offers
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biology, biology and/or microbiology. 2. Publish and present research findings in high-quality scientific journals and conferences. 3. Collaborate with faculty, researchers, and students