115 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" research jobs at Duke University
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or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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The research will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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The research will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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, ultimately aiming to find better treatments for patients with cancer. The lab utilizes advanced molecular biology approaches, functional genomic screening, single-cell technologies, and the in-house developed
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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. · The appointment is viewed as preparatory for a full-time academic or research career. · The appointment is not part of a clinical research training program, unless research training under the supervision of a
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program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor or a department
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas