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A Post-Doctoral Research Associate post is available in the Connectomics Group directed by Greg Jefferis in the Department of Zoology at the University of Cambridge. Greg Jefferis and Elizabeth Marin in Cambridge together with Wei Lee (Harvard Medical School) and Meg Younger (Boston University)...
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. Requirements and Qualifications: The Postdoctoral Scholar must have a PhD in transportation engineering, operations research, mathematics, or a related field by the appointment start date. In addition, the
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, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine learning) or a directly related field at the time of appointment is required. The successful applicant
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non
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The Opportunity (Job description): The Mathematics Department at the University of Central Florida is seeking to fill two postdoctoral positions, each for a two-year term with renewal for the second
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sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. National Centre
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, mathematical, and computational techniques. Experience leading and conducting these genomics experiments and performing research in inflammatory bowel diseases, intestinal, or immune-related diseases is highly
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods