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the results of which would be used to enrich the available experimental data in order to develop a Design for Manufacture and Performance concept based on machine learning algorithms where the required
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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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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
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. Manage distribution and return of keys/fobs for accommodation buildings including cycle storage and car parking permits. Support the management and auditing of 9,000 building keys, including daily and
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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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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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Nonlinear Distributed Control
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booking the venue, ordering catering and audio-visual equipment, distributing papers, preparing agendas, taking minutes for a variety of meetings and following up on action points. Produce high quality
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particulate materials Design and help instrument sensors based on these models to measure particle properties, such as the particle size distribution. Balancing experimental needs, such as bandwidth