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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and Computer Engineering, Applied Mathematics or a
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Assessment Program (AWQUA ) team. They will be jointly supervised by Erin Seybold (Assistant Scientist) and Scott Ishman (Associate Director/Senior Scientist) in collaboration with Tom Mueller (Assistant
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 07/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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students from all disciplines receive basic training in sciences in our state-of-art teaching facilities. Our department is committed to giving back to society through our extensive outreach program. We
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: 258029 Minimum Education and Experience: Doctoral degree in Computer Science, Marketing, Economics, Statistics, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical
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reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models