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. Postdoctoral Associate Positions in Regeneration Genomics Diao Lab, Duke University School of Medicine The Diao Lab in the Department of Cell Biology at Duke University School of Medicine has multiple openings
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: Durham, NC – Nicholas School of the Environment. Required Qualifications at this Level Education/Training Work requires a PhD or equivalent doctoral degree in the social sciences, including science, public
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preferred start date before September 15th, 2026 and available through March 31, 2027. Required Qualifications at this Level: Education/Training: a PhD in environmental chemistry, analytical chemistry
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to improve their engineering skills while becoming familiar with current healthcare problems. Career development benefits: Duke University is committed to mentoring and supporting young investigators. It
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environment where researchers work across disciplines to address important challenges in healthcare and science. As a Postdoctoral Associate in the Department of Biostatistics and Bioinformatics, you will have
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, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a related discipline. Demonstrated experience with experimental design, data analysis, and scientific
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, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
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‑approved radiologic technology or nuclear medicine technology educational program is required. Candidates must hold current certification and registration in one of the following: ARRT Registered Radiologic
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. The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team
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dedicated to improving the diagnosis and treatment of pain conditions. Minimum Requirements Ph.D. or equivalent doctoral degree (e.g., Sc.D., M.D., D.V.M.) in Neuroscience, Molecular Biology, Immunology