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Field
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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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. 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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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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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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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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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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Engineering Department Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - Studentship funded for 3 years Closing Date: 23.59 hours BST on Wednesday 03 June 2026 Reference: PHD-FAC-01 Project Title: Robotics for farming deployment Primary supervisor: Prof....
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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