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in physics is not possible without acknowledging the crucial role of observations and context in the foundations of quantum theory. If you are interested in deepening our conceptual understanding
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not possible without acknowledging the crucial role of observations and context in the foundations of quantum theory. If you are interested in deepening our conceptual understanding of the intersection
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Soft electronics. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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cryogenic settings offers substantial benefits, as some semiconductor devices achieve step-change performance improvements at these temperatures. In particular, key potential performance improvements
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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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reflection. Our previous work has only just reached the point where all the above elements have been successfully combined [1-2]: a working multi-scale design process combining theory and numerical simulations