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of these sheets and foils (0.1 mm to 0.5 mm thick), controlling variables in the forming process is challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can
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define observable events based on expert knowledge and available evidence. Development of a post-race analysis structure, process and data ‘toolkit’ that can build on historical understanding of race
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be used to specifically identify nuclear material but are susceptible to self-shielding where the material of interest attenuates its own specific signals creating the risk of misleading results
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the application process, please contact pgr.sst.enquire@city.ac.uk . For questions regarding the project, please contact the academic supervisors Dr Giacomo Tarroni (giacomo.tarroni@citystgeorges.ac.uk ) or Dr
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, maintenance, disposal and recycling is required. Based on over a century’s experience, design and operation of power transformers have been highly optimised, with peak energy efficiency reaching over 99
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) and apply online. Informal enquiries are welcomed and should be directed to: Dr Belinda Bell, bb326@cam.ac.uk If you have any queries regarding the application process please contact Sam Wyatt, slc74
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
biggest environmental challenges? This fully funded PhD offers a unique opportunity to develop energy-efficient, cost-effective, and carbon-reducing manufacturing processes — placing you at the forefront
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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD
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sovereignty and empower individuals by allowing them to take back control over their data. However, the process of implementing data governance in a decentralised setting, especially when AI is involved, brings