150 assistant-professor-computer-science-and-data Postdoctoral positions in United States
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. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data. Major project goals will include
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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team led by assistant professor and TIMS lab director Dr. Michael A. Antonelli and supported for a period of up to two years (with possible extensions contingent on additional funds obtained by the PI
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faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more information about CPC. Applicants must have completed a Ph.D. in demography, economics, sociology, or another related
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publications, project management, and active participation in grant applications. There is potential for promotion to Research Assistant Professor. Huntsman Cancer Institute is committed to cancer prevention
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by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department College of Engineering and Computer Science
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (offers accepted posted 2025/04/09) Position Description: Apply Position Description The Department of Physics
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computational multi-omic data analysis Physical Demands Salary Range $56,484 - $68,604 Additional Salary Information The salary range reflects our good faith and reasonable estimate of the possible compensation
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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, biostatistics, computational biology, applied mathematics, computer science, or a related quantitative field. Strong coding skills in R, Python, or similar, plus experience analysing infectious-disease data