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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross
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between populations and species; inference of the shape and dynamics of the fitness landscape; and understanding how evolution is shaped by conflicting selection forces. Much of our work is on dynamics
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contribute to the excellence of our academic community. This position will work as part of a dynamic multidisciplinary team that engages physicians, therapists, psychologists, engineers in observational and
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motivated individual who thinks independently but also enjoys working in a dynamic, collaborative, multidisciplinary team. Excellent scientific writing ability and strong oral communication skills
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded