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Field
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional
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this position is contingent upon availability of external funding derived from research programs or specific projects. Required Department Minimum Qualifications: Ph.D. in environmental science, hydrology
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programming is a plus. Required Qualifications* Ph.D. degree in biomedical engineering, medical physics, electrical engineering, computer science, neuroscience, or equivalent disciplines. Good written and
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advancements in Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program
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of their service lives), statistics, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization
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the K-5 teacher summer training program. The post-doc will have opportunities to contribute to PI-led in-progress papers arising from the analyses of these data and lead their own manuscripts based
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faculty, staff, and trainees, to identify and de-risk candidate projects for commercialization, as well as developing their own startup over a two-year fellowship program (with the option to extend for a
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://www.MiamiOH.edu/campus-safety/annual-report/index.html , which contains information about campus safety, crime statistics, and our drug and alcohol abuse and prevention program designed to prevent the unlawful
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, sociology, or other relevant fields. Experience with analysis of large health science databases or studies Analysis experience in R, SAS, STATA or a similar statistical programming language Demonstrated
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statistics, physics, computer science, artificial intelligence, or a related quantitative field Experience with mathematical/statistical modeling and/or machine learning/Al methods Strong interest in