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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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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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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
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201210, China [map ] Subject Areas: Physics / theoretical condensed matter physics , high energy physics or mathematical physics , Condensed Matter Theory Appl Deadline: 2025/09/09 11:59PM (posted 2024
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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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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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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 | 4 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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission