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deadlines Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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. The goal of the PhD will be to seek mechanistic insight into the electrode polarization processes as well as strategies for improving performance by optimization of composition, microstructure, and the
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adaptation with user agency and transparency, the project also connects to to MishMash WP1 on AI for artistic performances RQ1.1-1.2 and MishMash WP7 on human-centric AI for creative problem-solving. Building
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project Improved Micro/Nano-Structured Carbons for Sodium Ion Battery, which is headed by Associate Professor Pai Lu. The research project focuses on developing highly performing carbon anode materials
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efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be adapted for monitoring the state, performance and health of maritime equipment and systems, as
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years in the Norwegian educational system Documented experience with designing and conducting user experience studies and quantitative performance evaluation Documented experience in the system
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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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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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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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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 requirements