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samples. • Sufficient knowledge of mathematics and statistics is required to analyze and interpret test results. • Knowledge and skill sufficient to maintain and operate standard instruments (qPCR machines
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participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
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) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral Scholar focused on research in human computer interaction, computer science, virtual humans, health technologies, simulation
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. Parsons, PhD invites applications for a postdoctoral scholar focused on research in human computer interaction, computer science, virtual humans, health technologies, simulation science, and immersive
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, Materials Science, Engineering Mechanics, Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence/Machine Learning, or a related field completed within the last 5 years Preferred
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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other computer skills. Preferred Qualifications Prior experience in at least one of the following areas is highly desirable: (a) strong understanding of metabolism, such as the roles of lipid oxidation in
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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly