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responsibilities as needed: Human-in-the-loop model adaptation The fellow will lead the design of methods that convert coach interactions with AI-generated suggestions, such as selections, edits, and rejections
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surgical video recognition. Project themes will include validating PhacoTrainer models on multiple external datasets; measuring and improving model generalizability; training and fine-tuning computer
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. By integrating human population-scale data with experimentally tractable model systems, we aim to uncover fundamental mechanisms of aging and identify pathways that can promote healthier aging in both
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-end imaging pipelines: data ingestion, curation, preprocessing, segmentation/annotation support, feature extraction, model training, evaluation, and external validation. Collaborate with surgeons
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leukemia. There will be opportunities to work with physicians, translational researchers, and scientists. Primary human hematopoietic and leukemia cells, and an established humanized mouse model will be
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to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure
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research backing. Hence, these products rarely get used in research, creating a disconnect between educational research and practice. We launched ROAR envisioning a new model: an open-source, open
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information. We are particularly interested in approaches that move beyond conventional model performance to evaluate reliability, transportability, uncertainty, information sufficiency, and clinical usefulness
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measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics of COVID-19 under various nonpharmaceutical interventions with
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, including links to HIV, hepatitis C virus, and other communicable diseases along with model-based evaluations of the health and economic impacts of housing provision, opioid use disorder (OUD