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multiple brain regions interact with each other, or networks. Furthermore, we are focused on identifying factors affecting the plasticity of these representational networks, and the degree to which they can
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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from
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join our innovative research team. Our lab focuses on developing precision medicine approaches for diagnosing neurodegenerative diseases, such as Alzheimer’s disease, through the discovery of blood-based
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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acumen in the areas of adolescent substance use, mental health, traumatic stress, and behavioral interventions for youth and families. Candidates with interests in developing and implementing applied
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leveraging multiple rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U and P programs). Topics include (a) human genetics of ADRD using quantitative endophenotypes from
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and neurological disorders. Our research utilizes mobile and wearable technology to better understand stress as it is experienced in free living conditions. Our lab has developed several mobile apps
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-mounted cameras. Applies state-of-the-art algorithms to summarize the statistics of the images. Attends regular team meetings. EDUCATION Required Master of Science (MS) degree in Data Science SKILLS
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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are investigated as well. Example projects include tailored process improvement in primary care, telehealth for people with multiple chronic conditions, scalable quality improvement through data-driven