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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate Vacancy ID PDS004690 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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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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10 Oct 2025 Job Information Organisation/Company CNRS Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions
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at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
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, AZ USA Position Highlights The University of Arizona (UA) Department of Astronomy and Steward Observatory (SO) invite applications for a Postdoctoral Research Associate who will play a leading role in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher with experience in
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: 1. A cover letter detailing your research interests and fit for the position, 2. A CV with a list of publications, and 3. Names and contact details for two references. Position Type Research
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at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
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. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations