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machine learning, bioinformatics, sequencing and microbiology. This role is available on a fixed term basis until 31st May 2027. Hours of work are full time (36.25 hours). Job share arrangements may be
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takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is
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View All Vacancies Chemistry Location: UK Other Closing Date: Sunday 12 May 2024 Reference: SCI266 Uncertainty quantification for machine learning models of chemical reactivity In this PhD
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Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives, design, materials
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the Electrical Revolution Industrialisation Centre as part of the Power Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham and become a core member of a team working on
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the Electrical Revolution Industrialisation Centre as part of the Power Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham. You will be a core member of a team working on
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digital infrastructure and engineer common data models for the entire research team, as well as develop Machine Learning and other AI approaches to support biomaterials design and discovery from
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subject to performance. Closing Date: Wednesday 19 June 2024 Reference: ENG194024 We are seeking a Lead Manufacturing Engineer to join and provide leadership to an expanding electrical machines
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Power Electronics and Machines Centre (PEMC) at the University of Nottingham and become a core member of a team working on electrical machines design and development. The multidisciplinary team covers
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Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives