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Field
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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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the sophisticated mathematical objects required to state the main theorem. This will involve developing a computer-verified library for the two sides of the correspondence: (1) the representation theory of GL₂(F
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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and generates local economic growth. The project uses data on investments made by development banks to build a novel panel dataset spanning 20 years of climate-relevant finance across European regions
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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qualifications and experiences needed for entry at a particular level. Key Accountabilities Research Assistant Collect, analyse and interpret research data and draw conclusions on the outcomes Co-ordinate own work
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investigating how to improve outcomes for young people who have been exposed to adversity in childhood. For more information about the Bath Mental Health Research Group and the study team, please see
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement
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, integrating these data to investigate disease mechanisms at unprecedented resolution. You will investigate how genetic variation, including differences in mtDNA variant levels between cells, influences cellular