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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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few- and many-body systems, and quantum computing. Candidates in all these areas are strongly encouraged to apply. Scientists in the group working in these areas include Joe Carlson, Stefano Gandolfi
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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matter, mathematical, and particle physics. Candidates for the position should have a Doctorate degree in Physics or a related discipline. To apply online, please visit https://puwebp.princeton.edu
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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designed to involve: close work with Professors Lindsay Larson and Anna Mayo at Heinz College on a sponsor-funded project; mentorship and time to advance a research program in the area of human-AI teaming
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem