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150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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Continuation of the award is subject to satisfactory progress. Number available To be confirmed by RADMA. Funding provider Research and Development Management Association (RADMA) Level(s) of study This funding
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Engineering, Mechanical Engineering or related subjects. Funding and Eligibility: UK only Key Information Supervisors: Professor Tony McNally
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characterisation would be advantageous. A driven individual with an inquisitive mind. Contact: Informal inquiries should be sent to Dr. Dan Reed d.reed@bham.ac.uk, Professor Arun Bhattacharya – a.bhattacharya.1
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As a PhD student within the Economics Division, you will have access to a broad programme of research training opportunities. These include advanced methods courses, data skills workshops, and an
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo