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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Lab at UNC-Chapel Hill is seeking a highly motivated Postdoctoral Research Fellow to join our group at the intersection of statistical methodology, machine learning, and biomedical data science. Our
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Robotics to develop research in the field, e.g., robot design, control and mechatronics; Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T-RO, CVPR, ICML; Excellent verbal
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in
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to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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applications from strong and creative researchers in machine learning or optimization who are eager to engage in a collaborative and interdisciplinary environment. Postdocs in our group are encouraged to pursue
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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the link between research, teaching, and practical application by integrating research results into courses and developing new learning activities in collaboration with industry. The postdoc will join the
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will have the opportunity to engage with NYU FAS deans, faculty, and postdocs to: Learn best practices to prepare for the faculty recruitment, application, interview, and selection process; Write
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also