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Type of Position Staff Position Time Status Full-Time Required Education PhD Required Related Experience None Required License/Registration/Certification None Physical Requirements Standing for long
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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 The post-doctoral fellow recruited will work as part of
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. Under the supervision of Luke Johnson, PhD and Jerrold Vitek, MD PhD, the associate will work collaboratively within the NMRC on an existing project supporting the collection and analysis of large-scale
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Research Associate Vacancy ID PDS004979 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 Dependent on Experience
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be determined considering the following criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline (faculty pay
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Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. SUNY Research Foundation: A Great Place to Work. The starting salary
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AI-assisted proof engineering. The position is part of an ARIA-funded collaboration between EPFL and Imperial College London whose goal is to build a formally-verified ML inference engine
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1 Sep 2026 Job Information Organisation/Company Institute of Philosophy and Sociology Polish Academy of Sciences Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD
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37.50 Daily Work Shift Work Arrangement This position requires a fully on-site work arrangement. Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of
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Position Description As the preeminent educational institution in the world focused on work, employment and labor, the School of Industrial and Labor Relations (ILR) generates and shares knowledge