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, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high-dimensional data, and/or electronic medical records are encouraged to apply. Successful
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and Experience Requirements PhD degree or equivalent in Electrical or Computer Engineering or a related area. Three to five years of teaching and/or industry related experience in the fields
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grants and program project grants in the future. Individuals with innovative applications of Artificial intelligence (AI), machine learning, bioinformatics and computational models in perioperative
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wide variety of BMI sub-domains, including bioinformatics, artificial intelligence (AI) in digital health, biostatistics, clinical informatics, and implementation science, among others. Successful
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, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high-dimensional data, and/or electronic medical records are encouraged to apply. Successful
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Overview Candidates with expertise and interests in clinical trial, population health science, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high