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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
23 Jun 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
are offered free of charge. Hiring Range $91,500 - $105,766 Working Title Research Computing and Data Professional External Link to Posting https://jobs.uncw.edu/postings/40157 Vacancy Number E1578 Position
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theoretical physics. prior work in many-particle quantum mechanics. excellent knowledge and previous experience in HPC and proven competence in c++ and GPU computing. good ability to work independently and to
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research workflows through high‑performance computing (HPC), GPU accelerated systems, high‑speed data transfer capabilities and low latency interconnect technologies. This role requires strong collaboration
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computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics Opportunities for collaboration and research visits
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international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
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. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state-of-the-art IT infrastructure. Ideal
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computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high-performance computing and system architecture. Advanced knowledge relating to highly complex database system design