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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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. Postdoctoral Associate Boyce Lab, Duke University School of Medicine The Boyce Laboratory in the Department of Biochemistry at Duke University seeks a talented, motivated, and collegial postdoctoral fellow to
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 4 hours ago
or machine learning applied to plant traits. Candidates with strong quantitative skills, interest in interdisciplinary collaboration, and motivation to explore crop performance in novel environments may find
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Job Title Postdoctoral Research Associate-1 Agency Texas A&M University Department Vet Med Pathobiology Proposed Minimum Salary $4,833.34 monthly Job Location College Station, Texas Job Type Staff
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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are seeking a highly motivated Postdoctoral Research Fellow to lead innovative projects at the intersection of Modern AI, Computer Graphics, and VR/AR/XRd Human-Computer Interaction. This role focuses
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive
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. Postdoctoral Associate Department of Neurosurgery | Duke University School of Medicine Be You. The Department of Neurosurgery at Duke University School of Medicine is seeking a Postdoctoral Associate to join a
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signals, imagery, and natural language, via adaptive machine learning; 2) Personalization of sequential decision making, biophysical digital twins, and the operation of digital and physical systems; and 3