67 parallel-and-distributed-computing-phd research jobs at Duke University

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under the supervision of a scholar or a department

  • Duke University | Durham, North Carolina | United States | 11 days ago

    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

  • Duke University | Durham, North Carolina | United States | 23 days ago

    . Salter’s existing research program will also be a plus. Responsibilities include: (1) Conducting research using cultural-psychological and/or critical race theoretical perspectives in collaboration with

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    -TEM. ·       The Department of Biochemistry provides a rich intellectual environment, with research in structural biology (cryo-EM, X-ray crystallography, NMR spectroscopy), and computational biology

  • Duke University | Durham, North Carolina | United States | 14 days ago

    : A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in

  • Duke University | Durham, North Carolina | United States | 1 day ago

    . Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of

  • Duke University | Durham, North Carolina | United States | 13 days ago

    , computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high

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