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platform creating dual species atom arrays for quantum computation and quantum simulation. FTE: 1 (35 hours/week) Term: Fixed (until 30/04/2027) Applications are invited for a postdoctoral research associate
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property somewhat specific to nuclear systems amongst all many-body quantum systems. The project involves developing quantum algorithms for implementation on near-term fault-tolerant quantum computers
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algorithms. You will work under the overall supervision of Prof Tingting Zhu, Royal Academy of Engineering Research Fellow of the Institute of Biomedical Engineering (IBME) within the Department
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and Electronic Engineering at Imperial College London, collaborating with experts in machine learning, digital hardware design, and computational neuroscience. Hands-on experience with algorithm
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Graph Neural Networks” and is to be delivered by the quantum discovery of science group led by Prof Oleksandr Kyriienko. The research will involve designing understanding and developing innovative
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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systems. You will be working at the interface between quantum many-body physics, materials science and machine learning. You will be developing algorithms in Julia. The project will be co-supervised by Prof
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to the optimisation algorithms. What we are looking for: Current knowledge in computer science or computational chemistry, physics, or materials science. Current knowledge in AI, ideally for use in the chemical
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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2026 Interviews: TBC (online) Start date: September 2026 Project Title: AI-Enhanced Battery State of Health Estimation Using Ring Probabilistic Logic Neural Networks Director of Studies: Prof Shahab