662 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Norway
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7th April 2026 Languages English English English Join our thriving research milieu on international relations and Arctic security and governance! PhD within International Environment and Development
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the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role of batteries in
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computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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for Virtual Coaching Assistant: https://www.jobbnorge.no/en/available-jobs/job/295004/phd-research-fellow-in-ict-multimodal-agentic-ai-for-virtual-coaching-assistant Application deadline: 25.02.26 Where
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work especially the real-time interaction among humans and between humans and a remote environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296470/phd
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facility development at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The researcher position will be focused on advancing sustainable and intelligent energy
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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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doctoral training, interdisciplinary research, career development, and high quality research. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293904/phd-candidate-in
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, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators