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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: You will be responsible for designing and conducting NIH-funded research
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. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal
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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University
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Campus Department Name DEPARTMENT OF MEDICINE Location Code DEPARTMENT OF MEDICINE (06500A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Laboratory of Assistant Professor
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Campus Department Name DEPARTMENT OF MEDICINE Location Code DEPARTMENT OF MEDICINE (06500A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Laboratory of Assistant Professor
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articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University’s Faculty Code recognizes faculty efforts in research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
develop new model code in Fortran, d) software skills needed to work with multiple observed and model datasets, e) a strong desire/motivation to develop scientific analyses of environmental problems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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with all institutional training and code of conduct. Ability to work independently based on experience. Knowledge of molecular dynamics simulation and mathematical modeling. Qualifications REQUIRED
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental