605 postdoc-in-thermal-network-of-the-physical-building PhD positions in United Kingdom
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of indoor spaces and work with real-life scenarios. This Studentship will bring a holistic framework to assess mental health impact on built spaces that will influence future blueprints for building design
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engaging schedule of internal and external seminars. You will also have the opportunity to be part of the Scottish Graduate Programme in Economics (SGPE)—a collaborative network of eight leading Scottish
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the gut-brain and gut-muscle axes, as potentially key modulators of cognitive function, and physical health in middle-aged-to-older adults. The central theme will be to investigate how targeted
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frames within the multi-storey office market. In the interests of achieving net zero carbon by 2050, there is a need to reduce embodied carbon within buildings. Therefore, the replacement of concrete slabs
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering. Offering fully funded
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will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role. Contact
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the Department of Biomedical Engineering at Swansea University, but you will also interact closely with our national network of clinicians from across the UK. This ensures the project stays grounded in clinical
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the paper industry. Motivation This project will form part of a wider network of European partners spread across Europe from Universities (Nottingham/Ghent/Maastricht), smaller SMEs (Nova Biochem), Research
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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
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical