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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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(particularly under extreme conditions), and/or the use of machine learning for solid mechanics/stress analysis problems are encouraged to apply. The job description presented here is deliberately broad due
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narratives that are relevant to them. To facilitate finding suitable narratives, we aim to design and evaluate a machine learning based artificial intelligence recommender system to filter narratives based
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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This is an exciting opportunity for an ambitious and talented researcher to join the Power Electronics, Machines and Control (PEMC) Research Institute at the University of Nottingham and become a
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the university, genomic and metabolomic measures, offering novel potential to explore the physiological basis for imaging measures and apply machine learning in a radiological context. You will join an established
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About the Role An exciting opportunity has arisen for a Research Associate / Fellow to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University
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: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Tensor networks - Quantum machine learning - Computational complexity - Topological order The main responsibility
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Applications are invited for a full-time Research Associate/Fellow positions within the George Green Institute for Electromagnetic Research and Power Electronics Machines and Control research groups