106 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Nottingham
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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role brings rewarding and empowering contact with academic, research staff and students alike. We value a flexible approach and willingness to learn as well as develop new professional skills. Within
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also developing skills in data analysis and machine learning. This role offers a unique opportunity to grow as a researcher, contribute to high-impact publications, and shape the future of biomolecular
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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The Professional and Work-based Learning Team at the University of Nottingham have an exciting opportunity for a dynamic and driven Recruitment Officer to join our team. As a Recruitment Officer
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, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless
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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 at the Nottingham Breast
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An exciting opportunity has arisen for a Mechanical Test Technician, Hydrogen to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham