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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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, the forward modelling of simulation data or the comparison between solar observations and MHD wave theory. The successful applicant may also be able to work with and co-supervise PhD, Masters and summer
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Applications are invited for the above research position to join the Power Electronics, Machines and Drives Research Group at the University of Nottingham. The PEMC group has undergone a
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chain, particularly how data is captured to develop and operate AI models and the rewards given to data providers. PRIMARY RESPONSIBILITIES The key responsibilities of the position will be to: Lead the
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invited to contact Dr Benjamin Cerfontaine (b.cerfontaine@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or
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of Stirling and Aberdeen and the wider academic team to design and implement social analysis of the cases including regional profiles, interviews and workshops on place-based understanding of Just Transition
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housing development. Perform parametric building performance modelling. Conduct non-intrusive load detection data analysis and reporting. Conduct financial modelling (carbon analysis, cost-benefit
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on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study. The successful applicant will be a recognised expert in shockwave application, and will