1,857 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" uni jobs at University of Michigan
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Apply Now How to Apply Candidates can apply by uploading a short cover letter as the first page of the CV with contact information for three references. The cover letter should address reasons
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quality through data analysis, various research activities, and project support. This position offers an invaluable opportunity to gain experience in the field of healthcare quality improvement. HMS is a
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holistic and proactive advising initiatives within the advising center by collecting, analyzing, and applying student data to inform strategies that support student success. They will use data to identify
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to the evolution of the Revenue Cycle environment. Oversee the capture and analysis of data regarding operational performance. Conduct regular staff meetings for a home-based workforce. Assess assigned operations
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to? Excellent medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Perform accurate and timely consultation case sample receipt and data entry
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via Cadence/EPIC. The position includes the responsibility of verifying accurate insurance, guarantor, primary care and referring physician information. Individual is responsible for verification and
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virtual). Assess program outcomes by collecting and analyzing feedback and data to inform continuous improvement and ensure that career programming meets student and institutional needs. Maintain expert
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with a variety of research studies. The candidate will be expected to work closely with faculty and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor
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to supporting patients, departmental staff members and allied health professionals. This position is responsible for reinforcing a positive image of the Health System to all customers. They use information
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Intelligence (AI), Machine Learning (ML), and Data Science (DS) into cybersecurity education. The project builds full-cycle labs that move from attack/data generation to feature engineering, model development