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., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results
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- Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available GSI positions: 1 position at .25 fraction, pending enrollment Number of positions reserved for PhD Students as
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, scientific computing and data visualization is required. Programming languages: Python, C/C++, Java Strong skills in Linux shell (e.g. bash) scripting Strong knowledge of data structures and algorithms
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Experience with NGS analysis pipelines, algorithms, and workflows, including bulk DNA/RNA-Seq and single-cell analysis Exposure to clinical data standards (HL7, FHIR, OMOP, DICOM) and experience working 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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big data and algorithmic decision-making have become more commonplace. Each week, students will have the opportunity to try their hand at analyzing big data from sources ranging from online dating
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying
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math and programming ideas into algorithms. The course uses instructor-led presentations and gamified exercises to teach core programming concepts, applicable across languages and environments. Students
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this course as manipulation of text, creation of algorithms, and generation and analysis of Web pages. Students learn computational concepts, write programs with a focus on purpose (not memorizing syntax), and