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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Rosenstiel School of Marine, Atmospheric and Earth Science at the University has an exciting full-time
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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:// astro.arizona.edu/academics/postdoctoral-program. UA/SO offers a world-class research environment in space science and astrophysics with strong interdisciplinary programs across the Departments of Astronomy, Physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
Science, Geoinformatics, Geographic Information Science, Urban Planning, or a closely related field. Required Qualifications, Competencies, and Experience - Ph.D. in Geography, Environmental Science
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and demonstrate an ability to write and communicate with a scientific audience
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Science. The position will begin in August 2025. The position includes teaching courses in the Applied Behavior Analysis and Clinical Science master's program. The teaching load is 24 credit hours to be
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: 276110766 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science