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Field
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: Experience of translating ideas and quantitative problem formulations into data processing tasks and/or quantitative models. E2: Experience of developing and running statistical and/or programming code
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your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy
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Northern Advanced Research Training Initiative network. How To Apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=nubs012 for application instructions. Shortlisted
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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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. 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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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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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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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