13 statistics Postdoctoral research jobs at University of Tennessee in united-states in United States
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spatial ecology, animal movement modeling, statistics, epidemiological modeling, and population modeling. The Team will use movement and disease data across deer populations in the United States to i
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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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for an early career researcher to contribute to the TRRC’s goal to strengthen causal inferences while developing a range of skills in educational measurement and statistics. Current projects involve propensity
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large, administrative data, statistical analysis and programming, project management, and working with external stakeholder groups. This position is a full-time, twelve-month appointment with a salary of
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easy driving distance to Asheville, Nashville, Atlanta, and the Great Smoky Mountains; and a day’s drive to Memphis, Chicago and Washington D.C. Knoxville and the surrounding counties have a statistical
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and the surrounding counties have a statistical area population of over 850,000 people. The Knoxville region houses many leading corporations, including Bush Brothers & Company, Discovery Inc
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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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creative individuals. • Ph.D. in Mathematics, Computer Science, Statistics, Physics, Engineering, or a related field • Prior experience in modeling viral infections, bacterial infections, and/or immune
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diverse data sources to create reliable datasets, focusing on both large datasets and those with scarce data. Apply statistical analysis and machine learning techniques to extract valuable insights
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processes and carbon-nitrogen interactions. The research will involve extensive field and lab experiments, statistical data analysis, review/meta analysis, report and scientific article preparation, and