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Position Description A Postdoc Fellow position is available at The Yeh Laboratory at CSHL Cancer Center (http://yehlab.labsites.cshl.edu ). We are recruiting new members passionate about drug
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
this commitment, UNC Charlotte ensures that persons of any background are invited, included, and treated equally in the terms and conditions of employment. Post Doc Benefits: https://gradlife.charlotte.edu/postdocs
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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constraints and competing objectives. Multi-agent learning and optimization show promise in this regard. Yet, the deployment of AI for decision making in critical infrastructure like the energy sector
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convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML
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manuscripts, lead analyses, mentor/ supervise undergraduate and graduate researchers, and contribute to federal and foundation funding proposals. The postdoc will also have protected time for professional
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at the University of Oslo. The place of work is Department of Informatics at Blindern, Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts