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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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simulate maternal cardiovascular response Data fusion and integration of heterogeneous datasets from wearables and hospitals A Collaborative, Interdisciplinary Environment: The position is based in
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undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
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overall efficiency. The project also involves building a real-time simulation environment, supporting the development of a hardware-in-the-loop (HiL) test bench, and validating the system through field
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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, an expert in radiation–matter interaction and materials simulation (h-index 36, i10-index 69), and Dr Francesco Fanicchia, Research Area Lead: Material Systems for Demanding Environments at the Henry Royce
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Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter