623 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" positions at University of Michigan in United States
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plans and study protocols into efficient, reproducible code using appropriate statistical methods. Conduct or support advanced statistical analyses (e.g., longitudinal, multilevel, causal inference
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research on high power microwaves, plasma physics and modeling, and surface and interface sciences Experience with analytical theory, Monte Carlo simulations, particle-in-cell simulations, fluid code
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methods training Data management and analysis experience Demonstrated capacity in quantitative research methods Coding/programming experience in Stata, Python, R, or a similar program/language Mastery
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* The candidate will: Benchmark/validate/adapt radiation dosimetry algorithms developed at Michigan and by industry collaborators. Develop code for data analysis. Perform patient specific dosimetry calculations and
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knowledge of insurance codes, treatment plans, and billing processes. Assist the department with managing patient financial concerns, disputes, and commercial interactions. Maintain and support clinic
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protocols Develop code for data processing, analysis Contribute to patient recruitment and preparation of regulatory document Perform patient specific dosimetry calculations and analysis for clinical research
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using APIs specifically utilizing FHIR standards and other healthcare interoperability protocols. Significant familiarity with healthcare data standards (HL7, FHIR, ICD/LOINC codes, REDCap, Epic/Clarity
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, troubleshoot complex issues and improve system performance and reliability. Develop and maintain unit and integration test suites to ensure code quality and long-term maintainability. Design and implement a
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diagnostic and procedure coding. Work with hospital staff to pull participating patient's medical record according to study protocol and arrange for all data abstraction forms and reference material Maintain
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specified in the instrument procedures. 3. Enter test results into laboratory databases. 4. Ensure continuous operation by monitoring the status of reagents, parts, and supplies. 5. Monitor error codes and