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-resolved measurements with fs resolution, advanced data-analysis methodologies, and experience with time-varying metamaterials. The opportunity to contribute to a pioneering research programme aimed
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Overcoming the Terascale Design Challenge: Next-Generation Efficient AI for Discoveries in Surface Science and Catalysis research project, an ambitious research programme establishing a next-generation
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pursue ambitious, high-risk research to advance the fundamental science of artificial intelligence and address some of the field's most important challenges. The programme will create a unique
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-SOFC research programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based
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of programmatic research, funded by a range of partners. This project falls within the Science and Innovation pillar of the Fleming Initiative’s programme of research. You will lead the development of advanced
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. The successful candidate will be expected to provide scientific leadership for components of the programme, drive methodological innovation in direct detection and sequencing approaches, supervise junior staff and