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to understand the materials response to manufacturing process to efficiently support the manufacture of aerospace components. This will involve using a wide range of sophisticated testing and analysis techniques
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-matter physics, materials-biomolecules interaction and device physics exploiting the contributions from a multidisciplinary team of theoreticians. You should have expertise in at least one of the following
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of the components and the key process parameters. The project will deal with design of special process setups, testing its working principles and performances followed by assessment of the part quality; this will
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of wind turbines are crucial considerations for operators and manufacturers in the wind energy industry. Various models, including physics-based and data-driven approaches, are employed to address
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Description of thesis topic Turbulence in magnetic fields, or magnetohydrodynamic turbulence, is a fundamental process that underpins our understanding of a variety of natural and industrial
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of continual learning and Natural Language Processing (NLP) to automate the cyber-attack attribution process . - Establish solutions for automatic identification of attacker-oriented countermeasures
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influences process reliability, efficiency of usage of hospital resources and risk to staff and patient safety. Hence, having a model that integrates these various aspects of procedure is essential to result
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model of complex systems, considering both cyber and physical aspects, and the human element. Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised
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, Mechanical Engineering, Computing, Physics or related areas. In particular, we invite applications from all interested candidates who have a strong mathematical background with an interest in modelling. A
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Centre, this project will encompass manufacturing process development, material parameter optimisation through finite-element simulation, and rigorous testing and validation of functionality and