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of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with the team to conduct a small-scale experimental pilot of the study. The postdoc will be housed inside the Department of Computer Science & Engineering, in the GroupLens lab and collaborate with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
the Nation. The Department maintains a strong research program as well as a comprehensive educational program. An active, healthy research environment is essential for training graduate students and enlivens
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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to a variety of social and sports clubs About the Role This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation
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23 Sep 2026 Job Information Organisation/Company Gustave Roussy Department INSERM U1279 Research Field Biological sciences » Biological engineering Physics » Biophysics Engineering » Biomedical
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific