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and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language requirement: Good oral and written communication skills in English English requirements
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, modern facilities, and a dynamic business environment. With its strategic location by the sea, Ålesund provides a perfect balance between urban living and natural experiences. Here, you will find excellent
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at CREDS. A broad range of methodological approaches is relevant for the theme, including qualitative case studies, action research, system dynamics modelling, and more. Please note that the project may
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dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will investigate dynamic phenomena and processes in the Martian atmosphere
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
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explore links between climate evolution, mantle dynamics, and long-term planetary habitability. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty
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is part of the ERC-funded 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
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experience in marine technology and AI will be advantageous Knowledge about high performance computing and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate
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and Natural Sciences Starting date: preferably in 2026, by agreement Project 5: Models and dynamics of machine reasoning Employment: UiT - The Arctic University of Norway, Department of Physics and