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Field
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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Neurology - 411801 Posting Open Date 03/08/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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analysis skills and experience conducting quantitative analyses using Medicare and Medicaid files, commercial claims, electronic health records and other large data sets. PRAs will have access to the wealth
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required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining
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Systems research. Individual will be responsible for all nutrient and metals analytical testing, works with PIs to conduct quality control on data, and maintains data records. Individual ensures that all
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for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be expected to publish in high
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Posting Details Position Information Job Title Post-Doctoral Fellow - AU Fish Ecology Group Posting Number P0895F Position Summary Information Job Description Summary The Fish Ecology Group
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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate: Research in Medicinal Chemistry Department Pharm - Pharmaceutical Chem Salary Details A minimum of $61008
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Category: Faculty University Authorized FTE: 100.0 Unit: BMGT-Ctrs-Health Information & Decision Systems Campus/College Information: Founded in 1856, University of Maryland, College Park is the state’s
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present data. The ideal candidate will have strong programming experience (R, Python, bash); working knowledge in Linux/Unix environments; experience in the analysis of large datasets; and a solid