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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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the collective bargaining agreement with the Graduate Labor Union-United Electrical, Radio and Machine Workers of America (GLU-UE). Research Assistant Duties and Responsibilities. This position works closely with
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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computer skills for accurate data collection using various hospital EMR systems (primarily EPIC systems) and willingness to learn various Data Capture systems (WebDCU, RAVE, Red-Cap) ability to work on site
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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technologies and how their technology use impacts their relationships and well-being, and on the application of machine learning in family and developmental research. The Post-Doc will contribute to Dr. Sun’s
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experience should involve preparing material for specialized analysis including PCR analysis. Experience processing and analyzing tissues. Experience working with laboratory animals. Basic computer skills are
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, interpret, and carefully follow experimental protocols. • Basic computer skills are necessary (Excel, Word, PowerPoint) with willingness to learn advanced software related to specific research activities
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment