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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 Machine Learning Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Appl Deadline: none (posted 2025/08
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(www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or nonlinear dynamical systems to join our interdisciplinary team. Our
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learning process creating a climate which supports learning. This position will assist in the development of educational and compliance standards. The position will coordinate orientation for all new hires
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trachea as required. Determine, set up and prepare necessary drugs, supplies and equipment for the administration of anesthetics; assemble gas machine and test to insure proper functioning; ensure
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of care, 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
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Overview We are seeking a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning (AI/ML) to join our interdisciplinary team at Duke University. The postdoc
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or organization Ability 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
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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 information using
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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 information using