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Artificial intelligence to Building Energy Systems for Next Generation Control Strategies
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Quantitative logics and complexity theory Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jonni Virtema Application Deadline: 01 July 2024 Details Logics
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Energy Engineering, Mechanical Engineering, Electrical Engineering, Computer Science or a related field, ideally with prior experience in building energy systems. The ideal applicant should possess
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
technology of a $3.5 billion US government programme to establish four regional Direct Air Capture hubs across the country. This project has three objectives: Generate data on the pressure drop, hydrodynamics
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challenging programme specifically designed for top performing junior researchers, in addition to the main area of research, including: Residential taught training courses at each of the partner universities
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challenging programme specifically designed for top performing junior researchers, in addition to the main area of research, including: Residential taught training courses at each of the partner universities
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programme specifically designed for top performing junior researchers, in addition to the main area of research, including: Residential taught training courses at each of the partner universities
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challenging programme specifically designed for top performing junior researchers, in addition to the main area of research, including: Residential taught training courses at each of the partner universities
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to commence in September 2024. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically designed
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GIF CDT: Fundamental combustion chemistry of hydrogen/ammonia/nitrogen fuel blends Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded Students