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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest
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—induced by targeted drugs—can serve as a powerful therapeutic avenue in prostate cancer. Working under the mentorship of a Duke faculty leader, you will develop your independent research program, contribute
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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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, United States of America [map ] Subject Areas: Environmental Studies / Natural Resources Science and Management Climate Change Starting Date: 2026/08/01 Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime* filled (posted
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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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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. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity