109 phd-sandwitch-in-architecture-and-built-environment PhD research jobs in United Kingdom
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assessment in architecture and construction? Do you want to work for turning down the emissions and overuse of materials in the built environment? We are now looking for a doctoral candidate for a PhD position
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Powertrain and Fuels (CAPF) at Brunel University of London invites applications for a Research Assistant / PhD position as part of an EU MSCA Doctoral Training Grant. This position focuses on investigating
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and maintaining a fair and inclusive working environment. To apply, please complete an online application and upload a CV and a cover letter. Your cover letter is a supporting statement, and you should
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£100 million. The Department of Naval Architecture, Ocean and Marine Engineering is a world-leader in research in: Ship Design, Stability and Safety, Marine Hydrodynamics, Marine Structures, Ocean
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https://www.sems.qmul.ac.uk/research/studentships/674/net-zero-natural-resource-energy-and-time-efficient-manufacturing/The PhD work will benefit from access to unique facilities including
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describing areas, human/animal populations, administrative processes, or the built/natural environment). C2. Excellent communication skills [oral and written], including public presentations and ability
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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at Oxford University. Living Construction group is one of research groups in the Hub for Biotechnology in the Built Environment (HBBE, http://bbe.ac.uk/living-construction/ ), which focuses on the production
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading