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failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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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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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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for applying for the position Complete CV (education, work and teaching experience and overview of any scientific publications) Copy of diploma for both bachelor and master education and relevant certificates
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: Application letter with description of your motivation for applying for the position Complete CV (education, work and teaching experience and overview of any scientific publications) Copy of diploma for both
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, work and teaching experience and overview of any scientific publications). Copy of diploma for both bachelor and master education and relevant certificates. Copy of the applicant’s master’s thesis as a
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for the position Complete CV (education, work and teaching experience and overview of any scientific publications) Copy of diploma for both bachelor and master education and relevant certificates Copy
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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
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of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are The Research Training Group RTG2670 – Beyond Amphiphilicity in the second funding phase