1,962 machine-learning-"https:"-"https:"-"https:"-"https:"-"University-of-St" positions at Duke University
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, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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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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computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database administration. OR equivalent combination of relevant education and experience. Preferred
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given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application of these protocols to new technologists, physicians, and researchers. Perform other related
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facilitate the adult 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
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meet patient care productivity standard as established for job classification. Work cooperatively with supervisors and peers to contribute to the overall productivity of the team. Assess the learning
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teaching, mentoring, and evaluating students in clinical/lab settings to ensure they acquire the necessary skills and knowledge to excel in their nursing careers. Schedule: Monday-Friday 8-hour and 12-hour
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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. Ability to navigate the entity to provide clinical care for
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equivalent to a high school education. Work requires two years of related medical clerical experience sufficient to acquire skills in transcribing medical terminology, office organization and communications. A