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models of the additive manufacturing process. Surrogate models to accelerate virtual material testing and verification will be developed to allow the generation of property distributions from process
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argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and experience
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational
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monitoring training records, sending reminders, generating reports, and distributing relevant information. Provide support as required across the Professional Services team in key operational areas in
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collating and distributing papers. Carry out general administrative duties to support the effective delivery of Education and Student Experience. This may include across activities related to assessment and
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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distribute liquid helium and other cryogens as required. Manage the billing and financial reporting of the Helium Liquefier Facility. To repair cryogenic equipment and advise customers on the safe use
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on offer through all charitable routes, and uptake of these, and food distributions across West and South Yorkshire. Overall responsibility for data preparation, data analysis, and reporting of findings