9 machine-learning Fellowship positions at University of Nottingham in United Kingdom
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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
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/ Probabilistic Graph Theory models and/or other relevant statistical, machine learning or AI techniques are desirable and would be an advantage, as would experience of effective team working with empirical
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of processes using computer automation and requires excellence in contemporary practical skills, preferably demonstrated by your previous publication record. The project will focus on the design of flow reactors