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application to 2D framework materials. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our
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. This development will be carried out in collaboration with the FHI-aims developer community. Applications of the method will be conducted in close cooperation with our experimental partners within the RTG2861-PCL
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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by Executive Dean Professor Chris Harty, CTE brings together four schools: Architecture & Planning, Construction, Property & Surveying, Engineering & Design, and Computer Science & Digital Technologies
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community. The Department of Phytophotonics at the Institute for Botany / Hannover Centre for Optical Technologies welcomes applications for the following position to be filled from August 1, 2025: Research
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validated physics-informed digital twin FDP approach, developed with industry leaders like AMRC, the project aims to enhance this method and elevate its Technology Readiness Levels (TRLs), supporting
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other
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the planning methods into the open data AgiMo Digital Twin, (4) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility
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: https://drg.ac.uk/ Digital Twinning Interest Group: https://www.sheffield.ac.uk/machine-intelligence/community/interest-groups/digital-twinning How To Apply Applications should be made at: PhD study | MAC