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principles and analytic methods relevant in health services research Advanced knowledge of statistical computing and/or Bayesian inference Advanced programming skills in a common statistical software package
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designs such as observational study, randomized clinical trial, adaptive randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis Work
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randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis. · Develop as an educator by taking an active teaching role in POCUS and EBM
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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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maintaining the institutional repository, defining and creating metadata workflows to enhance the collections’ discoverability, managing the software storing and displaying the digital objects, and supervising
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Director; vet and revise course learning objectives; ensure accuracy of the course schedule, granular information sheet, and coordination with OME, curriculum office, and support staff. · Recruit and
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, providing visionary leadership in the design, execution, and oversight of enterprise-level Information Technology initiatives that advance the School of Medicine’s mission and long-term strategic objectives
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objectives, and accreditation standards. · Oversee the design, delivery, and integration of pre-clerkship curriculum, promoting evidence-based instructional practices and consistent assessment methods
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are of high quality, current, posted, easily accessible, and reflect the educational objectives and content being delivered. · Serve as a resource and communicate in a timely manner with students
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-cycle improvement. 2. Quality, Safety & Outcomes · Oversee Quality Director roles that report to the Division of Cardiology. · Co-develop and track annual Objectives and Key Results