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relation to road safety for users of motorised mobility devices. The work will take place at NTU (city site), with the research team comprising Prof Duncan Guest, Prof David Crundall and Dr Andrew Mackenzie
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candidate may be employed at Grade E or Grade F depending on qualifications. The project is led by Prof. David Crundall. You will work with a small team to help create and validate our training course, and
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Prof. Rob Morris (Professor of Physics and Maths) at rob.morris@ntu.ac.uk or Dr. Gareth Cave (Principal Lecturer in Chemistry) at gareth.cave@ntu.ac.uk.
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Learning and Data Science; Distributed Databases. Interviews week commencing 8th September 2025 You will possess excellent communication and presentation skills, being capable of teaching both undergraduate
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. Supervisor 1: Dr Yasir Ali (Loughborough University) Supervisor 2: Dr Lipika Deka (De Montfort University) Supervisor 3: Prof Marcus Enoch (Loughborough University) Supervisor 4: Ian Murdey (Go Travel
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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues
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in Leicester, Leicestershire and Rutland, with a focus on equitable distribution of benefits 2. To deliver and evaluate local community engagement activities on energy issues, harnessing outputs from
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candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
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prevalence through geographic distribution. 2. To understand the experiences and survival strategies of people living invisibly in poverty. 3. To explore the evolving role of social enterprises and community
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Overview This project aims to assess the interrelationship between monetary policy, inflation, and inequality. Specifically, it will explore: i) the effects of monetary policy on the distribution