63 scholarship-vacancy-for-phd-in-computational-physics Postdoctoral positions at Duke University
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independent research activities under the guidance of a faculty mentor, Shyni Varghese, PhD, in preparation for a full time academic or research career. The job includes fabrication and characterization
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drivers and other disease vulnerabilities. Educational Requirements: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization required. A candidate who has experience
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neural stimulation and/or computational neural modeling are required as are excellent communication skills. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates
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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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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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; contribute to the mentoring of trainees within the lab; publish peer reviewed manuscripts and contribute to funding proposals. Educational Requirements • PhD in Chemistry, Bioinformatics, Computational Biology
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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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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral
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of research or scholarship responsibilities, which may include teaching responsibilities for Postdoctoral Associates. Conformance to standards of responsible conduct in research. Compliance with good scholarly
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming