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the wider PhD cohort in the group of meteorology and climate and the School of Geography, Earth, and Environmental Sciences. Supervisory team: Dr Gregor C. Leckebusch (University of Birmingham
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of good-quality data is typically limited for high-value critical assets. This PhD project will focus on developing, evaluating, and demonstrating physics-informed machine learning or domain knowledge
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-oriented, especially with regard to data management and writing Willingness to work as part of an interdisicplinary team across science and social science Excellent communication and organization skills
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information about the CDT, please visit the website or send an email to hello@fusion-engineering-cdt.ac.uk . The candidate should have a 1st / 2.1 class Undergraduate or Masters degree (or equivalent) in
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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partner universities. For further information about the CDT, please visit the website or send an email to hello@fusion-engineering-cdt.ac.uk . The candidate should have a 1st / 2.1 class Undergraduate or
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Role type: Part-time (0.2 FTE); Fixed-term for 6 months Faculty: Faculty of Medicine, Dentistry and Health Sciences Department/School: Centre for Youth Mental Health Salary: Level A - $85,555 to
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD