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Research Assistant/Marie Skłodowska-Curie Actions (MSCA) Doctoral Network PhD Studentship, Commencing October 2026 (3 years) The Centre for Cancer Genetic Epidemiology (CCGE) is recruiting a
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work on the project “Assessing the role of rare germline non-coding genetic variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution
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areas, which will be used to train and assess boundary layer neural network models. The student will develop and evaluate suitable ML architectures, analysing the trade-offs between different modelling
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Films Lab (Advanced Materials Research group) at the Faculty of Engineering, University of Nottingham, which conducts cutting-edge research into next-generation electronic and energy materials for Net
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). Additional project costs will also be provided. Overview Offshore Floating Wind (OFW) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables
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. Together we will make technological advances that bring compact, reliable and economical energy management into our homes. Motivation The UK is charging full speed ahead towards its ambitious goal of net
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks
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real-time? This project will use computational models of neural networks to derive closed-loop control algorithms to modulate oscillatory dynamics in brain circuits. You will test these algorithms
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, transportation networks, and water treatment plants, increasingly rely on AI-driven decision-making for efficiency and autonomy. However, these systems face unique safety challenges. Real-world conditions