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models (LLMs) in health data analytics. The position requires a demonstrated commitment to foster interdisciplinary collaboration with colleagues in public health, medicine, computer science, engineering
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doctorate (PhD or MD) in Health Informatics, Computer Science, Software Engineering, Information Science, Data Science, or other relevant STEM discipline with strong technical application development and R
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presentations, and facilitating collaborations in the Department. Required Education and Experience: * M.D. or PhD with experience in the field of platelet biology and thrombosis. Required Skills and Abilities
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: * Conduct data analytic work (i.e. data cleaning, coding and statistical programming) for a grant funded project focused on using regression discontinuity design to study the impact of a state policy on
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underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications