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that define building leakage characteristics. Surrogate Model Development: You will develop data-driven surrogate models capable of estimating air leakage in unseen building types. These models will be trained
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an advantage. The successful applicant will carry out research activities in the domain described earlier and will disseminate research outputs through scientific publications, software development, seminars and
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development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context
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into full-surface temperature profiles. Key outcomes include defining the required locations and extent of temperature monitoring to enable accurate data conversion. • Creating a practically deployable method
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to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements Applicants should have a first or
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electricity cannot benefit from the use of renewable energy sources and nuclear power for decarbonisation. To meet the net zero target by 2050 it is therefore imperative that the use of natural gas is phased
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an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
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receive advanced education, supervision, mentoring, training & development opportunities, civic engagement, networking opportunities and industry engagement. Funding Standard stipend £21,622 p.a. 2025/26
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an international network of colleagues. Entry requirements Applicants should have a minimum equivalent to a UK upper second class degree (2.1) and preferably an MSc in a relevant subject such as Environmental
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | 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