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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: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Computer Science 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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, interventions, evaluation and re-evaluation of patient status. Able to use computer and learn new software programs. Able to navigate the entity to provide clinical care for patients. Able to withstand prolonged
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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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. (Customer service for Recreation staff) b. Imaging and cloning machines. (Automation processing) c. Learn how to manage Fusion and expose students to recreation management software. People & Culture a
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Demonstrate proficiency in the 100+ MR protocol sin the Health System. Teach the correct application of these protocols to new technologists, physicians, and researcher Perform other related duties incidental
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activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent
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to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate
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team (1 graduate assistant, 3 undergraduate student staff) Serve on the Division of Student Affairs’ Collaborative Learning and Communications Team Conduct marketing assessment as needed to evaluate CMA