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characteristics might explain these differences? MS is a complex disease, with damage to the brain and nervous system that varies widely between individuals. This PhD project offers an opportunity to investigate
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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EPSRC Centre for Doctoral Training (CDT) PhD in Digital Metal with Rolls-Royce (Enhanced Stipend) Development of Advanced Barrier Coatings for extreme environments Background Applicants are invited
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that align with Net Zero targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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are seeking to award full PhD scholarships to outstanding candidates in several disciplines, including: Accounting: seeking top-rated PhD applications from candidates with interests in all areas of accounting
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research expenses of up to £1,000 per year will also be available. Method B rules apply as the students will be professional learners employed, doing the PhD fulltime in their place of work.
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, networking and career development after the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. Start Date would be 1st October 2025 for 4 years. Contact
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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of canopy reflectance profiles with soil/vegetation radiometric temperatures, require a large set of input parameters and the relationship between model’s inputs and outcomes is not very well studied