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A successful candidate will have a PhD in political science, public policy, or a related field. The degree must be conferred by the start of the position. Applicants should have received their PhD
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of Evolutionary Anthropology, Biology, or other appropriate departments including in the School of Medicine or other aspects of curriculum development. This is a position designed for early career scientists
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data sets and strong analytical skills in psychology or other social science disciplines is necessary. Responsibilities: Advanced statistical modeling and data analysis – 60% · Conduct advanced
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Position Description The Vengosh Laboratory at the Division of Earth and Climate Sciences of the Nicholas School of Environment seeks a highly motivated and talented postdoctoral researcher to study the
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. Follow expectations for responsible dissemination of materials, reagents, software, and potentially patentable discoveries. Required Qualifications A PhD or equivalent doctorate (e.g., MD, ScD, DVM
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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multiple faculties across disciplines. The successful applicant will possess a PhD or equivalent doctoral degree in engineering, material science, geoscience, environmental science, chemistry, industrial
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students, support new group members, and collaborate with colleagues across the Duke research community. Required Qualifications: Education/Training- PhD, physics, mathematics, quantum information/mechanics
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, United States of America [map ] Subject Areas: Climate Change Environmental Studies / Environmental Justice Development Economics / Resource Economics Marine Science / Marine Ecology Coastal Marine Environment / coastal
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, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell sequencing, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track