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Field
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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Applications are invited to undertake a 3.5 year PhD programme to explore new laser surface engineering methods for functionalising the electrochemical performance of solid-state batteries. In
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or high 2i in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, or Atmospheric Sciences. Knowledge in fluid mechanics, numerical methods and computational modelling
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of rotation and stable stratification. To understand the origins of these energy transfers, we will perform direct numerical simulations using the global spectral method with extremely high precision to capture
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Master's degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
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Systems, Economics, Mathematics, Operations Research, Computer Science, or a related field Strong knowledge of quantitative and/or computational research methods, ideally in optimization and simulation
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this effort, the PhD research focuses on the fatigue and fracture behavior of these metal barriers in hydrogen environments. Through a combination of experimental testing, theoretical analysis, and numerical
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models for both industrial and environmental flows. Better predictions of these currents, particularly hazardous ones, will enable more effective mitigation strategies. The primary research method will be
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various research studies involving low- to high-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire
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in several of the following key topics: Energy System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval