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of the English upland landscape through a partnership with multiple stakeholders, united by mutual interest in the landscape’s future. Cumbria, a county in the North-West of England, is home to some of the UK’s
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. Consider a self-adaptive IoT network such as a smart home that autonomously manages energy consumption while balancing multiple, often conflicting requirements, such as comfort, cost efficiency, and
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you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Co-simulation energy markets operation and power grids
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their language(s), how speaking and listening happen in real time, how the brain processes language, how the human genome contributes to building a language-ready brain, how multiple modalities (as in speech
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characterization and benchmarking protocols for their suitability to provide efficient cost functions for the optimal control of gate calibration in full-stack quantum computers and simulators. Based on your
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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Your Job: develop numerical and analytical techniques to simulate and control the time dynamics of quantum technology devices implement and optimize gate operations and artificial Hamiltonians
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model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate a versatile
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of microalgal biomass. The PhD student will join the Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within
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project titled “High-Fidelity Simulation and Data-Driven Modelling of UAV Noise” in the research group of Dr Zhong-Nan Wang at the University of Birmingham. The research of Dr Wang’s group is focused