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, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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Health career. Description of Proposed Project (maximum 1500 words; references may be additional) The proposal must offer a concise statement of objectives, methods, and significance of the proposed work
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create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels of learners design and implement education research projects Position
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; not including any references placed at the end of the description) The proposal must offer a concise statement of context, objectives, methods, and significance of the proposed research. The proposal
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the foundation necessary to: identify the learning needs of diverse audiences create robust simulation cases and courses based on specific learning objectives develop and refine debriefing skills for all levels