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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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systems (eCPS). The focus in this research is on analysing and managing agent behaviour for enhanced sustainability and resilience. The student will be presented with a chance to shape actionable solutions
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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the next generation of robots and its sensing solutions to perform tasks in challenging working environments. This project is related to the development of smart mechanisms and sensing to support the
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pitting) and bending fatigue separately. Practically, there is a very high possibility that a gear is operated under an influence of both types of failures and hence reaches to its breakage well before