191 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent
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methodologies that blend industrial design with advanced technologies. He/she will apply expertise in areas such as electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive
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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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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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to learn from others is essential. The School values diversity and is committed to equality of opportunity. The School of Chemistry holds a Silver Athena SWAN Award in recognition of our commitment
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty