74 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions at Duke University
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to feminist intellectual histories of the 1980s; Conceptualizing and organizing intellectual programming for graduate students on topics related to feminist intellectual history; and Teaching one course in the
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a cover letter, CV, statement of research interest, names and contact information for three references and a publication list via Academic Jobs Online [https://academicjobsonline.org/ajo/jobs/30619
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curriculum vitae, a cover letter, research statement, and contact information for three references (reference letters are not needed at the application stage). Apply online at https://academicjobsonline.org
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: https://physics.duke.edu/ 919-660-2962 Duke Box 90305 120 Science Drive Durham, NC 27708
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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 the supervision of a senior mentor is
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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foundation for an independent research trajectory. REGAL is a multidisciplinary research program integrating social epidemiology, molecular epidemiology, and global health to investigate the drivers of cancer
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remodeling. Projects center on the biological activities of adipose tissue stem/progenitor cells and how they regulate adipose tissue expansion and remodeling in the setting of obesity. The research program
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Computer Science / Augmented Reality , Programming Languages Electrical and Computer Engineering / Machine Learning Appl