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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
Position Information General Information Position Number 002828, 002829 Working Title Teaching Professor (Open Rank) Classification Title 9-Mo Non-Tenure Track Faculty College College of Science
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Machine System for Data Quality, our research goal is to create fully automated processes for all phases of the data life cycle. We seek a Postdoctoral Fellow with expertise in Large Language Models (LLMs
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, engineering, mathematics, etc.), along with prior experience analysing electronic health records data from large mental health electronic health records systems. Demonstrable ability to write code in R and/or
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enterprise data into usable models (Snowflake preferred). Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or ServiceNow. Effective analytical thinking and
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web portal providing access to a variety of self-service functions (https://one.uf.edu/about/oneuf), and the University of Florida mobile app. This is an excellent opportunity to grow your career with
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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international research projects, large-scale collaborative initiatives, or flagship programs is highly desirable. LanguagesENGLISHLevelExcellent Additional Information Benefits Employment conditions Salary: PLN
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Dec-25 Location: Big Rapids, Michigan Type: Full-time Categories: Academic/Faculty Other - Academic/Faculty
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
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implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation