16 evolutionary-algorithm positions at Duke University in Ireland-University-Ranking-2024
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Position Description The Triangle Center for Evolutionary Medicine (TriCEM) at Duke University seeks an Associate in Research to begin as early as July 15, 2026. The successful candidate will work
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-specific data structures (e.g., linked lists, dictionaries, classes and objects). Ability to leverage standard algorithms and patterns when writing code. Ability to write good test cases and automated unit
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Position Description The Lonsdorf Lab in the Department of Evolutionary Anthropology at Duke University seeks a Postdoctoral Associate for research on wild chimpanzee lifespan development
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including, but not limited to, social work, nutrition, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule
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candidates to move up the evolutionary tree to drive context-precise circuit-editing with unprecedented spatiotemporal specificity to eliminate depressive-like symptoms and other symptoms of psychiatric
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of resources to optimize care. Participates in developing guidelines, algorithms, and care pathways to improve the care and safety of patients. Participates in efforts to maintain TJC accreditation standards
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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including, but not limited to, social work, nutrition, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule appointments. Apply knowledge of scheduling policies and