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, and analysis. Core areas include algebraic geometry, commutative algebra, number theory, group theory, topology, functional and operator analysis, harmonic analysis, and complex analysis. The department
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discrepancies. This role conducts detailed research on complex and escalated claims to ensure accurate payment determinations and compliance with CMS, DMHC, and health plan guidelines. The position supports
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. Lead the development and maintenance of analysis pipelines for genome-wide association studies, polygenic scores, Mendelian randomization and the integration of genetic data with proteomic and
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. This includes developing or modifying complex information systems handling large-scale biological data, maintaining the codes in lab GitHub and the data in lab server, explaining the codes and pipelines to the PI
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to perform complex procedures and techniques with accuracy. Preferred Education: Master's degree Preferred Skills: Advanced knowledge of research procedures, equipment and analysis methods. Job ID
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understands, interprets, and complies with research policies and protocols. CORE JOB FUNCTIONS 1. Performs specialized and complex experiments/studies. 2. Participates in the publication of significant research
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of the central reporting requirements, develops and produces complex data reports, making informed recommendations to Labour Relations staff regarding issues impacting their client groups. The incumbent
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. Advising staff on complex student files and providing guidance on appropriate procedures. Conducts need analysis to determine student financial aid packaging options based on individual case circumstances
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/Intermediate Statistician is sought to work closely with the team in the Institute to support research on firearm and related violence prevention and conduct research data analysis. The successful candidate will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
analysis of large behavioral, neural, and imaging datasets. The successful candidate will be expected to take ownership of complex projects and move them from experimental design and implementation through