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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives, design, materials, thermal management, control, and testing. The purpose of the role
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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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machining (milling and/or turning) you will contribute to the design and manufacture of high-quality parts that support the world changing research and teaching ambitions of the University. You will
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. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence
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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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research in areas including Artificial Intelligence, Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing
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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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Open PhD position: Waste to Medicine Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 36-month funded PhD