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, “AI” includes (but is not limited to) machine learning (ML), deep learning, reinforcement learning, optimization for/with ML, probabilistic modeling, trustworthy/responsible AI (fairness, safety
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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, hybrid, clinical, and pre-clinical courses. Ensure alignment of course content with learning objectives, accreditation standards, and institutional goals. Apply instructional design models (e.g., ADDIE
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facility maintenance supporting laboratory operations. Additional tasks may include regular equipment process qualifications, learning and supporting basic processing or characterization tasks and various
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(AI) and machine learning (ML), as well as predictive models within our Epic platform, IHIS. This role will serve as a subject matter expert (SME) and strategic partner in the planning, implementation
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design, understanding of quality and standards, and digital twinning is beneficial. The development and application of machine learning (ML) and artificial intelligence (AI) tools to optimize/automate
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and disparate datasets. Required Education and Experience: Bachelor's degree in computer and information science or an equivalent combination of education and experience. 4 years of experience relevant
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operationalizing the Medical Center’s mission, values and goals and assists in creating an environment that supports the nursing professional practice model. The Assistant Nurse Manager contributes to the ongoing
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, Automation Anywhere). Deep understanding of AI/ML fundamentals, including supervised/unsupervised learning, NLP, computer vision, and generative models. Familiarity with tools and frameworks like TensorFlow
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the nursing care of patients in alignment with the professional practice model. 95% Duties and Responsibilities: Health Care Delivery: Participates in our innovative healthcare delivery model that delivers