481 programming-"Multiple"-"U"-"U.S"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
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of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed action. 7. May receive
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analytics, gene-phenotype discovery, and clinical innovation. The HGSC is funded from multiple National Institutes of Health sources, including the All of Us Research Program as a Genome Center, the Gregor
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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 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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Florida is seeking to fill multiple two-year term teaching postdoctoral position beginning August 8, 2025. The appointment is subject to an annual positive performance review. The position carries a
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infections, E. Coli. Multiple projects are available, and the project will overlap with an existing phage biology program and center. The work is in part funded by the National Institute of Health as
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: Demonstrates the ability to plan and execute research. Knowledge of applicable research methods and analytical procedures. Knowledge of publishing/reporting requirements. Excellent teamwork and communication
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. This will include SENSIF, a research project funded by the Joint Programming Initative on Antimicrobial Resistance (JPI-AMR ). The major responsibility as a postdoc is to perform research within the scope
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering