94 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
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The School of Life Sciences (SoLS), University of Nottingham seeks to make a permanent teaching and curriculum leadership appointment of an Associate Professor in Biomedical Sciences. We are looking for an outstanding educator and scientist, with an ambitious vision, who is passionate about...
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About the role - The University of Nottingham is launching a new Medicine Curriculum in September 2026 and is in the process of building a new Clinical Teaching Centre and Exam Centre to support Clinical Skills and Simulation education. You will provide specialist technical support in the day to...
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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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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Requirements We are seeking enthusiastic, curious, and motivated individuals with: A strong academic background in computer science, artificial intelligence, machine learning, data science, engineering, or a
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront