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sensing systems. Applicant Requirements: We welcome applications from candidates who hold, or expect to obtain, a First-Class Honours degree (or equivalent) in Electronic Engineering, Electrical Engineering
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that extend beyond current capabilities. Potential targets include queues, deques, priority structures, linked structures, and new DNA-native information architectures capable of operating in vitro or in living
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, and more consistent. Current AI systems struggle because they assume a single correct answer, when geological evidence often supports multiple plausible interpretations; so, training AI to copy one
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline
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Description Applications are invited for a fully funded PhD studentship in the School of Electrical and Electronic Engineering at the University of Sheffield, in collaboration with the Defence
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, further building the skills developed within your PhD research programme. The position is grade 6 with a current salary of £31,236 and includes payment of home PhD tuition fees for the duration of the 6
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
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programme. The position is grade 6 with a current salary of £31,236 and includes payment of home PhD tuition fees for the duration of the 6-year award. Home students can apply. Applicants must have the right
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with a First Class or high Upper Second-Class degree in Electrical Engineering or a closely related discipline. Desirable experience includes: Electrical machines or electric drives; Electromagnetic
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Join us! Are you a curiosity-driven scientist with a background in physics, engineering, or a related discipline, who wants to lead work at the intersection of robotics and metamaterials? Join us