12 programming-"the"-"DAAD"-"U"-"Prof"-"EURAXESS"-"MASARYK-UNIVERSITY" Postdoctoral positions at University of Maryland
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: Designing and conducting research objectives in the Turfgrass Pathology Program. Collect data, conduct analysis, interpretation of results under the PI’s supervision. Publish and present research findings in
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: Analyses Utilize statistical programming languages including but not limited Stata, SAS, R, Python. Perform data linkages. Perform statistical analysis of large dataset to investigate the associations
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of Position: The Maryland Robotics Center (MRC) in the Institute for Systems Research at the University of Maryland, College Park, is seeking candidates for the 2024-2025 MRC Postdoctoral Fellowship Program
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candidates must have completed their Ph.D. by July before beginning the fellowship. Experience: Have at least 3 years of experience working with large data. Knowledge, Skills, and Abilities: Programming
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affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
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, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
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Amendment, in all aspects of employment, educational programs and activities, and admissions. Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged to apply. ^Student Posting
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of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged
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Amendment, in all aspects of employment, educational programs and activities, and admissions. Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged to apply. ^Student Posting
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affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. Women, minorities, LGBTQ+, veterans