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two years; additional compensation may be available and can be discussed with shortlisted candidates. The post-doc's role is project-focused, contributing primarily to one of the following projects
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Title Post-Doc Research Associate Vacancy ID PDS004736 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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of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven
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Applications are invited for three 2-years Post Doc fellowships within the Center for Ice-Free Arctic Research, at the Department of Biology, Aarhus University, Denmark. Expected start date and
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to apply Website https://academicpositions.com/ad/university-of-basel/2025/post-doc-position-in-… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research FieldBiological
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/BGBUTODtYP0c5WRc5HApeDRZIBzo5CBA/191/public/docs/polityka_rownosci_roznorodnosci_i_dobrostanu_2025-2028.pdf LINK EN: https://rowna.pwr.edu.pl/en/ As a friendly employer, Wrocław University of Science and Technology supports
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MontpellierCountryFranceCityMONTPELLIERGeofield Contact City MONTPELLIER Website http://www.icgm.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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Description At the Institute of Telecommunications, Research Unit Wireless Communication, TU Wien is offering a 40-hours/week position as a Project Assistant (Post-Doc) financed from a research project (ESSENCE
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Position Title: Postdoctoral Research Associate - Research in Meat Science Appointment Type: Post Doc/Trainee Job Description: The Department of Animal Science in the College of Agriculture and Life
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an opportunity for renewal to perform research using artificial intelligence (AI) and machine learning (ML) with a focus on large language models (LLMs) and foundation models (FMs) relevant to electric power