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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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. Ability to teach both face-to-face and online classes. Preferred Basic Qualifications PhD or ABD in Computer Science, or a closely related field. Demonstrated potential of teaching excellence in the areas
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pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation
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-Functional Collaboration. Coordinates Internal and External Activities. Event Planning and Coordination. Monitors and Evaluates Event Impact. Administration of the MSHS PhD program and close contact
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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in
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diagnostics, genome design, and cellular design and engineering. New approaches that incorporate evolution, selection methods, machine learning, and artificial intelligence are also of interest, as are methods
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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Master’s degree in artificial intelligence, informatics, computer science or related fields. A PhD degree in Artificial Intelligence, Informatics, Computer Science or related fields is preferred to teach
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ARTS & SCIENCES; DEAN (BL-ARSD-IUBLA) The College Graduate office oversees all 2500 graduate students and all PhD, MA, MS, MFA, and other graduate degrees, plus minors and certificates, in
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function) · Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity, sedentary behavior, and brain health. · Examining the effects of prolonged