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Field
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the likelihood and distribution of scaling within reservoirs and at production wellbores. Quantify uncertainty in models and assess the impact on long-term geothermal reservoir performance and development
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deep-learning and 3D computer-vision models that detect features while representing a distribution of plausible interpretations. Encode geological relationships in a knowledge graph that stores
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communications. The project includes training in AI, cyber security, FL, privacy-preserving computation, edge intelligence, and UAV simulation. Objectives Define a UAV-PFL threat model covering poisoning, backdoor
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Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
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environments, and distributional shifts. The research will combine probabilistic modelling, network-based representations, and modern AI methods to enable scalable and interpretable decision-making in complex
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! This unique research opportunity revolves around the physics of distributed robotic systems, mechanical metamaterials, active matter, and embodied intelligence, combining table-top experiments and
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colleagues at Newcastle University and UKHSA. The project sits within the Evidence Theme of the HPRU and will complement ongoing work on infection transmission in childcare environments, including a parallel
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lifespan of geothermal systems depend on the subsurface distribution of heat, fluid flow pathways, and recharge mechanisms and fluid chemical composition. These factors control the precipitation, dissolution
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Responsible AI 39 Faculty of Computer Science Startdate: 15.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 12.10.2029 Reference no.: 6159
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programme will be shaped collaboratively with your supervisor and is expected to produce multiple refereed journal papers. It consists of three main sub-projects: A New Determination of the Cosmic Star