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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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and polymers. The Wentz Lab is a collaborative, multidisciplinary laboratory environment, and the successful applicant will play a vital role within our emerging research team. The hired postdoc fellow
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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
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Postdoctoral Fellow (two open positions) in the High Energy Neutrino Group in the School of Physics.
and department. • Contribute to collaboration with other postdocs and students. Required Qualifications Applicants must have: • A Ph.D. in High-Energy Physics, or a closely related field. • Substantial
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