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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
processes (such as convection, internal evolution, mass wasting) are also welcome. Candidates should have a recent Ph.D. in geology, physics, or a related field with a strong background in geological and
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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and a strong commitment to excellence in education are encouraged to apply. PhD is expected by the start date. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/38042 and
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research o Experience analyzing intensive longitudinal data (e.g., EMA) The anticipated start date is Fall 2026. Start date is negotiable. Interested individuals should apply at https
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for three references to https://indiana.peopleadmin.com/postings/32142 Letters of reference will be requested from candidates who are selected for further consideration. Basic Qualifications The successful
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research interests. Optional Up to three selected publications Contact Information Liz Alcock https://www.physics.harvard.edu/ Harvard Physics Department 17 Oxford Street Cambridge, MA 02138 Contact Email
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the etiology of Cancer development, focusing on how deregulation of DNA motor proteins contributes to this process. Significant experience in protein purification and biochemistry is necessary for this position
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on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the lab please visit https://milbrandtlab.wustl.edu/ . Working Conditions
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https