76 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Duke University
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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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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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multiple affiliations. Be You. The Department of Pharmacology & Cancer Biology seeks a Postdoctoral Associate to join Dr. David MacAlpine's research laboratory. Minimum Requirements: - PhD in Molecular
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needs of cancer patients and their families. This program is a division of the Duke Pain Prevention and Treatment Research Program in the Department of Psychiatry and Behavioral Sciences, and part of
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biology. This NIH-funded position is available to study the role of nuclear pore proteins in the regulation of chromatin architecture during neuronal differentiation. The successful candidate will have a
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implementation of citizen science initiatives, including outreach programs, sample collection protocols, IRB compliance, participant recruitment, and data return strategies Collaboration with international
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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the lab; publish peer reviewed manuscripts and contribute to funding proposals. Educational Requirements • PhD in Chemistry, Bioinformatics, Computational Biology, Computer Science, or a related field
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Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEHICKEY [#31330] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in