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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
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you will need to click the Upload button multiple times in order to attach your Resume, References and any additional Required Materials noted above. ---- Employment Eligibility: Please make sure you
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technical and career development. Qualifications: The ideal candidate will have a Ph.D. in Bioinformatics, Computational Biology, or a related field, with a strong background in bioinformatics methods and
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material science research, running a research laboratory, and supervising students. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions
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. Purpose We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused
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well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially
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of directly related experience. Knowledge / Skills / Abilities Knowledge Deep understanding of evidence-based teaching and learning practices across multiple modalities. Knowledge of faculty pedagogical
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational