116 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" research jobs at Duke University
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_CRICHMOND [#31795] Position Title: Position Type: Postdoctoral Position Location
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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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—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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, 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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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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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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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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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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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed