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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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here: This PDRA position will be funded by Prof Reisner's Royal Academy of Engineering Chair in Emerging Technologies. The PDRA should have (or be about to receive) a PhD in Chemical or Process
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publications in high-impact journals and the generation of novel IP. More information about the laboratory and project can be found here: This PDRA position will be funded by UK Research and Innovation through
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and bring a strong skill set in microbiology to the team. More information about the laboratory and project can be found here: Funding is provided by UKRI through a Japan-UK collaboration for artificial
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the date of hire, with the possibility of a second-year contingent upon work performance, business need and continued funding to support the position. Contact Information Haiden Huskamp, PhD Bruce Landon, MD
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, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering, applied mathematics, computational
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University Position Description The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of AI as Postdoctoral AI Researchers. We are looking for candidates with
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
execute bacterial perturbation experiments, develop scalable molecular biology workflows, and generate high-quality transcriptomic, physiological, proteomic, and metabolomic datasets. This position offers
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execute bacterial perturbation experiments, develop scalable molecular biology workflows, and generate high-quality transcriptomic, physiological, proteomic, and metabolomic datasets. This position offers