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environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with
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response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH
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at least two of the following three case studies: Canada, the US, and the UK, from the 1960s onwards. Drawing on newspaper articles, fan mail, and contemporary scholarly writing, the project will mirror
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. System Modeling: Develop and refine photonic system models incorporating key quantum mechanisms. Use simulation tools (Lumerical, Synopsys, Matlab, Python, …) to validate architectural feasibility and
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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information or questions about this PhD please contact nicola.love@ukhsa.gov.uk . To be considered for this PhD please send a copy of your CV and a personal statement up to 500 words explaining your suitability
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and communicate their research clearly and effectively. Preferred Additional Skills: Familiarity with the PyTorch Geometric library. Experience with molecular dynamics simulations or molecular docking
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 22-Aug-25 Location: Tuscaloosa, Alabama Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience