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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy Systems How to apply: Click the 'Apply' button above. This 3.5-year PhD studentship is open to...
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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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Project summary Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can autonomously perform part or all of the research process. However, to realise this vision AI systems need specific abilities. One of these abilities is...
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autonomous systems. You will have the freedom to shape the project direction, experiment with novel ideas, access state-of-the-art AI and computing facilities, receive tailored training and professional
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. The project will investigate how advanced and modern cryptographic protocols, such as zero-knowledge proofs, secure multiparty computation, homomorphic encryption, exotic signatures, and their post-quantum
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computational solid-state physics/ chemistry. Candidates with experience in the synthesis, the characterisation and performance testing or modelling of metal hydrides, complex hydrides and/or their composites
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. Starting October 2026, the programme offers 13 fully funded studentships, including 2 AHRC Doctoral Landscape Awards, plus four fees-only studentships. Full details on how to apply and fees are here - if you
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Contrail formation remains one of the least understood yet most climate-relevant impacts of aviation. Persistent contrails can evolve into cirrus-like clouds that significantly affect Earth's radiative balance, but the physical mechanisms governing their formation particularly in the near-field...
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications