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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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and non-invasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in
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and dry forest-grassland ecosystems. We seek candidates with experience in integrating multi-source remote sensing with field sampling to study vegetation dynamics (e.g., phenology) and its response
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outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science
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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
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. Compliance with all applicable University and departmental policies and procedures. Required Qualifications at this Level Education/Training The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g
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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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outlined in Section 7-B of the Duke University Postdoctoral Policy, effective April 1,2008. Work Performed 1. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates
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research procedures and techniques. Minimum Education/Training Job Requirements: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM).Candidates with non-US degrees may be
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. TERM: 1 year, with the possibility of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in Political Science, Sociology, Human Geography, Anthropology, or related