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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Position Title Post-Doc Research Associate Vacancy ID PDS004853 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Position Requirements Applicants
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Post Doc Associate, ALI The Department of Psychology at Cornell University, a cross-college department in the College of Human Ecology and College of Arts and Science, invites applications for a
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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Post Doc Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell University is seeking applications for two postdoctoral positions: a Joan Klein
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Title Post-Doc Research Associate Vacancy ID PDS004812 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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work to generate reports, keep records, write manuscripts, prepare presentations, etc. The ideal candidate will have post-graduation research in immunology and have published (or under review) several
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: Experience applying machine learning methods for predictive analysis. Expereince with the Python programming language. Experience with the creation, validation, and use of synthetic data for constructing