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Field
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to accelerate the development of net-zero hydrogen combustors. This project will use state of the art CFD techniques, offering potential benefits to industry and will contribute to the progress of science in
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hardware. Both projects are part of a European consortium (https://www.elevate-dn.eu ), providing access to a community of 20 PhD students in world class institutions throughout Europe and a dedicated summer
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Novel Materials for Stratospheric Aerosol Injection (Delivery). The post holder will be located in
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques
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relevant discipline with a focus on human-computer interaction and/or critical computing. The candidate must be self-motivated and collaboration-oriented, able to work alone and in a team. The position is
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a new generation of artificial muscles. This work will leverage the expertise of the Bristol SoftLab (www.bristol.ac.uk/softlab ) and the supervisory team in fundamental and applied transduction
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campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates
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Research Assistant ( Job Number: 25001001) School of Education Grade 6: - £30,805 - £31,637 per annum Fixed Term - Part Time Contract Duration: 25 weeks Contracted Hours per Week: 10 Working
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difficult for industry to predict and control product performance. This PhD project will tackle that challenge by applying advanced polymer characterisation techniques to better understand and quantify
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The project will work alongside Vishay Intertechnology, which brings together a number of world leaders in power semiconductors and energy conversion to develop solutions for automotive, aerospace