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Field
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further
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, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
. The department also offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts
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, turbo-ID assays, and omics experiments. Sets up and performs routine and established lab procedures supporting lab goals. Assists with IACUC protocols and SOPs. Collects biological samples and process
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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contributing to grant proposals. • Participate in teaching undergraduate courses (6 credit hours per year) Qualifications • Ph.D. in Operations Research, Industrial Engineering, Computer
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with the review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment
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research, we utilize a variety of wearable devices including smartwatches, smart rings, and fitness trackers to measure additional variables of interest such as heart rate, heart rate variability, physical