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focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so
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with data structures, algorithms and software design. Experience consuming and implementing RESTful APIs. Experience with fundamental Linux operating system concepts. Desired Qualifications* Experience
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Responsibilities* Experimental responsibilities will include, but not be limited to: Develop and implement advanced AI/ML algorithms for image segmentation and registration Collaborate with diverse teams in
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards.\ Communicate with nursing units regarding
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards.\ Communicate with nursing units regarding
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students from varied backgrounds Autonomous vessels AI and ML algorithms and applications in the marine space Data systems and high-powered computing design protocols and implementation Familiarity with
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards. Communicate with nursing units regarding
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. Learn, utilize, and maintain Charge Master data in FinThrive and in the Epic EAP master file. Set hospital rates following department policy, using standardized pricing algorithms, available benchmarking
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers