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for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University In partnership with leading industrial stakeholders, we are launching a new
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We invite suitably qualified and highly motivated applicants from STEM disciplines to apply for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham
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the University of Nottingham alongside our ‘next-generation’ batteries research team. We want to understand the chemistry that underpins advanced energy systems and use this knowledge can be used to unlock new
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work within the Nottingham Applied Materials and Interfaces Group (www.thenamilab.com ) in the Carbon Neutral Laboratories for Sustainable Chemistry at the University of Nottingham alongside our ‘next
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at University of Nottingham which conducts cutting edge research into machine learning methods
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Applications are invited from Home and International students for up to 10 fully-funded PhD studentships offered by the School of Computer Science at the University of Nottingham, starting on 1st
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Sciences at University of Nottingham which conducts cutting edge research into machine learning methods for inverse modelling problems. This is 3-year fully funded studentship is only open to UK home
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the University of Nottingham. This studentship is hosted as part of an EPSRC Prosperity Partnership Grant between the School of Chemistry and Additive Manufacturing (CfAM) with input also from the Department
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Applications are invited for a PhD Studentship, with an October 2024 start, at the University of Nottingham within the Department of Chemical and Environmental and School of Chemistry. The project