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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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the pathogenic mechanisms of amyotrophic lateral sclerosis (ALS)/frontotemporal dementia (FTD) using in vitro & in vivo (mouse and fly) models. We develop stem cell-based models for these neurodegenerative
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
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that values equity, diversity, and inclusion, gaining unique expertise in aerospace systems design and integration (airframe, engine, subsystems), system of systems optimization, multi-fidelity models
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in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
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fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications
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understanding of the flow features and behaviours which develop within NCLs and provide highly valuable validation data for the development of effective and efficient simulation tools. The student will be
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direction could be to use the technique of Inverse Reinforcement Learning (IRL) [2], [3]. IRL is an AI-based technique that supports imitation of the preferred system behaviour by using its behavioural
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model to understand the dominant physics in the drying process. Develop a well-documented open-source code to simulate a suitable reduced problem of the drying process. Generate a database quantifying