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of developing innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together
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in electrical and computer engineering, including physics, mathematics, signal processing, and machine learning demonstrated by a relevant Ph.D. degree and a scholarly record. For more information on
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Post-Doctoral Research Associate - The Department of Food Science (UTIA) - 24000001C6 Description Post-Doctoral Research Associate - The Department of Food Science (UTIA) The Department of Food
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. About the Lab The Sgro Lab is part of the Computation and Theory and
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statistical and data science methods in environmental health. Qualifications: Doctoral degree in Computer Science, Statistics, Biostatistics, or related field. Experience in analyzing real data, strong
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nanoprobe microscope. Working within the Microscopy Program in the Photon Science Operations group, this researcher will collaborate on the design, implementation, commissioning and initial scientific use
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Yale University- Department of Internal Medicine, Infectious Diseases | New Haven, Connecticut | United States | 2 days ago
dedicated to developing innovative therapeutic strategies aimed at curing HIV infection. The research program will focus on recent findings that highlight the potential of using cutting-edge in vivo gene-and
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by the National Science Foundation funded project, Trust but Verify: The Use of Intuition in Problem Solving (EEC-2325524). The project is led by a multi-institutional team that includes scholars from
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| Engineering Education The post-doctoral research associate position is supported by the National Science Foundation funded project, ‘Trust but Verify: The Use of Intuition in Problem Solving’ (EEC-2325524
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) program.QualificationsCandidates should have recently completed or be nearing completion of a PhD in environmental data science, soil science, earth system science, ecology, remote sensing, computer science, or closely related