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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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manuscripts to publish results in peer-reviewed journals; contributing to the chemistry education research program with novel project ideas; assisting with extramural funding proposals; mentoring graduate and
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quantum devices. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent
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and lead and support advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute
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. The Post Doctoral Scholar will embark on a program of independent research with the primary goal to refine a method for microbial and viral sample enrichment from corals. Duties will include conducting
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psychology within college athletics. Minimum Qualifications: Doctoral degree in clinical or counseling psychology (Ph.D. Or Psy.D.) from an APA accredited program. The applicant must have verifiable training
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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cancers; develops, adopts, and implements new laboratory methods to achieve characterization of the genetic basis of human cancers, identifies novel genes and examines their role in cancer development