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the group of computational aerodynamics and aeroacoustics (CA^2) led by Dr Zhong-Nan Wang at the University of Birmingham. The CA^2 research group focuses on developing high-fidelity Computational Fluid
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become accessible experimentally only about twenty years ago, and is now used to realise the first noisy quantum computers. In particular, the main goals are to understand: the non-equilibrium dynamics
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be 12pm, 13 February 2026. Here is your guide to how to apply to join us. Before beginning an application, get to know more about the programme. We are an innovative partnership with a particular remit
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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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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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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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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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. 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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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