88 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "Dr" "UCL" "UCL" research jobs at Duke University
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part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive and non-invasive neurostimulation. The strong interdisciplinary and
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found at http://jewishstudies.duke.edu . Further information about post-doctoral services at Duke may be found at: http://postdoc.duke.edu/ . Previous applicants are eligible to re-apply. Candidates from
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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in helping an existing program grow. There is considerable space for a visionary postdoctoral fellow to bring their interests and expertise to bear on shaping a relatively new summer program. These
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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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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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discovery and computational tools. The successful applicant will lead a research project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to
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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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PhD or equivalent degree (e.g., ScD, MD, DVM, DrPH). Under the guidance of Dr. William Pan, the Postdoctoral Fellow will perform full-time, independent research, consistent with preparing for a future
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motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response for multi-scale epidemic models. This position offers