169 genetic-algorithm-computer-"Prof" positions at University of Nottingham in United Kingdom
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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leader in engineering innovation and drive technology, we design and deliver high-performance systems for industrial, automotive, and renewable energy applications. We are now seeking a dynamic Programme
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, and employ high-throughput computational screening and materials informatics, to identify promising candidate materials. Aim You will work with Dr Sanliang Ling and Prof Alasdair Cairns. You will have
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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United Kingdom Application Deadline 10 Sep 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging