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decision science, mathematical modeling, and machine learning. They will work with Dr. Ryan Suk and will primarily be involved in the development/application of disease simulation models and/or machine
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contribute to the diversity and excellence of our academic community. JOB DESCRIPTION: Helps design and conducts research in the field of biomedical signal processing and machine learning, while receiving
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., virtual reality, machine learning), and biosensing technologies to develop novel methods to enhance and predict human learning and performance. The selected candidate will be expected to contribute
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, radiation therapy (photon- and proton-based), targeted therapy, immunotherapy, bone marrow transplant, CAR-T, BiTE, and phase 1 therapies b. Fellows will learn to perform critical risk/benefit decisions in
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-computer interfaces, modeling this co-adaptive system, and developing new decoding algorithms to improve user performance. Backgrounds in neuroscience, computational neuroscience, machine learning, and motor
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contribute to the diversity and excellence of our academic community. Helps design and conducts research in the field of biomedical natural language processing and machine learning, while receiving advanced
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experience include: Evaluating the predictive power of machine learning approaches for spatio-temporal epidemic forecasting. Developing causal inference methods to evaluate vaccines and other public health
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responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for