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the individual's research skills for his/her primary benefit. This multidisciplinary program is focused on developing the next generation of researchers in the field of aging, and competitive candidates will
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statistical methods; and experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux
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, laboratory meetings including journal clubs, and routine laboratory maintenance jobs. The successful applicant will join a thriving community of environmental health researchers at the Nicholas School
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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, mood disorder models, or equivalent. The candidate should also have proficiency in some surgical neural targeting method. Programming skills and an understanding of mouse genetics are also a plus. The
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for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive
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with molecular biology and/or genomics/bioinformatics is strongly encouraged to apply. Applicants with other expertise will be also considered. The successful candidate will have opportunities to work
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preparatory for a full time academic or research 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
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research or scholarship. 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 training under
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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