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advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed at pushing the limits of fundamental research and applications such as optical computing
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for impact by addressing computational problems and real-world healthcare challenges. The researcher will be responsible for developing and implementing new approaches, testing and evaluating methods on real
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The role The post is part of the Wellcome Discovery Award research programme “Collective Action for Race Equity in Health and Social Care”, which aims to address and dismantle structural factors
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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Cambridge, Cambridgeshire, UK. The key responsibilities and duties are: Develop methods for the design, fabrication, testing and analysis of lightweight low carbon concrete structures that use auxetic fabrics
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the United States and Sweden received funding for a new study aiming to advance race equity in health and social care structures. This bold research programme, titled Collective Action for Race Equity in Health and
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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed at pushing the limits of fundamental research and applications such as optical computing
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-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering research. You will be responsible for designing and implementing proteomic