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regulatory clearance of a new AP System (that included the algorithm program developed at the Center), published on October 16, 2019 in the New England Journal of Medicine . For more information visit: https
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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Supervisor will adhere to prescribed algorithms and guidelines for making staffing decisions. As Incident Commander for Emergency Management the SRO Nursing Supervisor will coordinate the dissemination
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from
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prevalence data collection, evidence-based policies, procedures, and protocols, and advisement of appropriate support surfaces, products, and staff decision-making algorithms. • Provides consultation and
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existing data sources and find new, interesting data correlations. Assist with statistical, mathematical and predictive models using strategic epidemiologic and/or data science skills to build the algorithms
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find new, interesting data correlations. Assist with statistical, mathematical and predictive models using strategic epidemiologic and/or data science skills to build the algorithms necessary to ask
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for the respective team. Implement and maintain Health System Access standards surrounding provider appointment templates scheduling algorithms and medical record requests within the team. Provide input on overall