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Field
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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. The proposed project advances this work by incorporating the effects of stochastic variability in neutron loading, blanket geometry, and microstructural material evolution resulting from irradiation
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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geometries and combine common materials in new ways to build bespoke, miniaturised antennas using magnetic nanoparticle structures. Your designs will make it possible to integrate digital technology platforms
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algorithms, validated in real-time simulations and experimentally in collaboration with industry. The project: This project looks at the development of electromechanical friction wheel braking (EMB) systems
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. You will contribute to the UKRI-supported Centre for Heterogeneous Integrated Micro Electronic and Semiconductor Systems (CHIMES²) programme. CHIMES² is funded by the Department for Science, Innovation
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advances in additive manufacturing and computational design. Architected lattice metamaterials—structures whose properties arise from geometry rather than composition—offer unprecedented opportunities
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3-Year PhD Studentship: Design and Autonomous Control of Soft Robotic Systems for Aero-Engine Repair
, avoiding costly disassembly and reducing aircraft downtime. Project Modern aero-engines contain complex internal geometries that are difficult to access using conventional tooling. At the Rolls-Royce UTC, we