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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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) in an appropriate discipline. Subject Area Computer Science & IT, Electrical & Electronic Keywords Artificial intelligence, floating-point arithmetic, numerical analysis, computer arithmetic, machine
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for heating due its lower unit cost and greenhouse gas emissions compared to alternative fossil fuels and electricity. Emissions from the combustion of natural gas, however, are fixed, and gas, unlike
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Research theme: "AI and Robotics in engineering", "Digital security and resilience", "Digital security and resilience" How to apply:uom.link/pgr-apply-2425 Number of projects: 1 This 3.5-year
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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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countries subject to trade sanctions, arms embargoes and other trade restrictions (https://www.gov.uk/guidance/current-arms-embargoes-and-other-restrictions ). Award Value Course fees are covered for home
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The School of Computer Science and Electronic Engineering (CSEE) is delighted to announce a fully funded PhD Studentship covering Home fees of (£5,006 for 2025-26) plus stipend. Stipends will match
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced