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required, as well as ability to work independently as part of a group in an international environment. The candidates should possess most of the appreciated skills/requirements: General knowledge
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international theoretical/computational partners. Your experience and ambitions Master’s degree in the field of condensed matter physics or a closely related field. Existing skills and knowledge in electronic
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safety standards and contribute to safer adoption of electrified transport. Reasons to study: Experience in an industry with high prospects of employability. Access to cutting-edge coating design
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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-processing crucial. However, video restoration and enhancement are complex due to information loss and the lack of ground truth data. This project addresses these issues innovatively. We propose using prior
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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solutions where improved knowledge of the aero-engine characteristics will be a key consideration. The overall aim of this PhD is to explore novel measurement methods that can improve the assessment of aero