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for scientific conferences. Assist in grant proposal writing for lab grants Mentor undergraduate or graduate students Doctoral qualification in epidemiology, biostatistics, computational biology, public health
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. Occupational Summary The David Lab at Duke University (www.ladlab.org ) is recruiting a postdoctoral fellow to join an established research group developing and applying DNA sequencing and computational
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neurological disorders through the development of new computational approaches for 3D movement analysis. Our goal is to probe the neural bases of natural behaviors while also enabling more objective and
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on the candidate’s interests and experience. Requirements: Ideal candidates should hold a PhD in the area of data science, computer science, bioinformatics, structural biology, or a related area, and have experience
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Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
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such as the Integrated Toxicology and Environmental Health Program, the Superfund Research Center, and the Center for the Environmental Implications of Nanotechnology. TERM: 1 year, with the possibility
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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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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to mentor students, teach/train other researchers in LCA tools, and develop independent research projects as desired. The successful applicant will possess a PhD in chemical engineering, chemistry
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regarding all facets of the Postdoctoral Appointee's research activities. Must hold a PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's