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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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: · Search for the ‘Course Title’ using the programme code: 8090F · Research Area: Mechanical Engineering · Select ‘PhD Mechanical Engineering (full time) – Mechanical Engineering' as the programme
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, hierarchical and composable analysis and design is needed. The project will leverage tools from contract-based design theory to formalise such security and performance guarantees at multiple resolutions
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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Can We Teach AI to Outsmart Humans in the Werewolf Game—Without Changing the AI Itself? Large Language Models (LLMs) have dazzled us with their ability to converse, code, and create—but they still
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the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
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cryptography, and will have an interest in interdisciplinary research. Knowledge of mathematics, particularly number theory, to the equivalent of first-year undergraduate level is desirable. We strongly
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of CambridgeCountryUnited KingdomCityCambridgeGeofield Contact City Cambridge Website https://www.eng.cam.ac.uk Street Trumpington Street Postal Code CB21PZ E-Mail f.forni@eng.cam.ac.uk tso24@cam.ac.uk STATUS: EXPIRED X
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. Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens