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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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continue developing our existing experimental platform, collecting data, and writing manuscripts and deliverables. This candidate is essential to maintain our sponsored federal projects. Minimum
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data interpretation. Help develop and implement meaningful AI applications in routine clinical practice. Draft manuscripts. Collaborate with the large number of research and clinical faculty in
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defects, genetic disorders and palliative care. Ideal candidates will be able to function as a part of a large multidisciplinary team in a shared governance environment, and have a passion for developmental
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. Update departmental databases in accordance with established procedures. Provide information about the University to students, staff, and the general public. Relay departmental police information
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includes leaders in denominations, seminaries, church-related colleges, large membership congregations and Christian non-profit organizations. Job Code: 00000729 NONDUKE STUDENT/INTERN Job Level: 00 Duke is
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
health care delivery and payment reform. This position will support Duke-Margolis projects with a variety of complex activities in research, writing, and analysis of quantitative and/or qualitative data
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portfolio of grants and contracts. Coordinate and/or perform pre-award and/or post-award activities for a unit (school, department, division, institute, or center) that has a large, complex, and/or diverse
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determinations to obtain data for research purposes. Performs experiments and assist in completing large projects. Techniques used will include mammalian tissue culture, murine infection models, molecular biology
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groups that are historically underrepresented in physics departments. These researchers will work with Prof. Michael Troxel to lead large-scale structure (weak lensing and galaxy clustering) projects