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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 | about 8 hours 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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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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. 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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. 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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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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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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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