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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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Research theme: Neuromorphic computing How to apply: uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD is fully funded for a home or overseas student; tuition fees will be paid and you
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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will work closely with the PI (Prof. Dawar) in a team of other researchers on the project and actively participate in the Logic and Algorithms research group. Candidates will have completed a Masters
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will work closely with the PI (Prof. Dawar) in a team of other researchers on the project and actively participate in the Logic and Algorithms research group. Candidates will have completed a Masters
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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Computer Science PhD Scholarships PhD scholarships are available in the Computer Science CDT, with some attached to specific projects. Eligibility: Home and international fee paying students
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of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
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The University of Exeter and Oxford Instruments Plasma Technologies are offering a jointly funded PhD position in computational and machine learning modelling of low temperature plasmas. Oxford