116 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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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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About the Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We have an exciting opportunity for a Learning Development Consultant (Access and Participation) to join our
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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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Applications are invited for two Problem Based Learning (PBL) facilitator posts based at University of Nottingham Medical School. The PBL facilitators are responsible for leading and mentoring PBL
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Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and become a core
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for two Problem Based Learning (PBL) facilitator
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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
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understanding and process optimisation. The work will primarily feature the integration of high data-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling