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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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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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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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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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, United States of America [map ] Subject Areas: Computer Science Ecology Environmental Science Climate Science Geography Appl Deadline: (posted 2025/01/27, listed until 2025/04/01) Position Description: Apply Position
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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: 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
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Eldoret, Kenya. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The
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ma yinclude 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 research
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Duke University, Biology Position ID: Duke -Biology -PD_SH [#29994] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area: Biology Appl