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, United States of America [map ] Appl Deadline: (posted 2025/09/04, listed until 2026/02/20) Position Description: Apply Position Description Postdoctoral Associate – Scientific Machine Learning for Multiscale Biological
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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] Subject Areas: Computer Science / AI + Software Engineering , AI/ML/DL Theory , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial
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record as appropriate. Basic computer skills, ability to learn and use DUHS computer system programs. Understand oxygen procedures in transport of patients. Level II in addition to duties described in
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internal regulations and policies governing data management are met including regulations concerning security, auditability and privacy. Provide technical direction to, instruct and coordinate the individual
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Supervisor will report to the DUHS Director. This position will manage all departmental education and orientation activities. This position will facilitate the adult learning process creating a climate which
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dynamic functions of microbial communities. For this position, the major goal is to develop advanced computational modeling frameworks that combine physics and machine learning to predict, understand and
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University invites applicants for a Postdoctoral Associate to work with faculty. The postdoctoral fellow will (1) teach one section of Incarceration Nation per academic year, with the possibility of teaching
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an annual training to learn about Duke University and Sport Club policy and procedure and ensure compliance of Duke University and Sport Clubs procedures. Counsel and advise Sport Club officers
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, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper