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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited
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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited
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, virtual machines, network...) Provides advanced consultation with researchers in the use of a broad set of state-of-the-art research systems, tools, and software to enable research productivity Partners
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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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networks; brand safety and suitability; campaign content, distribution, and effects; consumer behavior) and methodologies (e.g., explanatory social scientific; predictive machine learning; econometric
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of incomplete grades, double PhD major forms, etc. Advises students on best use of fee remissions. Determine eligibility for G901 and off campus A800 (research credit hours). Designs and maintains a database to
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readiness. A focus on big data resources (environmental, health, social, and model projections), AI and machine learning tools, is desirable. Highly desired experience includes digital technologies (e.g
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2012, FSPH is fully accredited by CEPH and offers three PhD programs, an MPH with five concentrations, an MHA program, several graduate degrees, and BS degrees in Health Services Management and Public