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Field
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: Reliable Communicative Self-motivated Organised Collaborative Emphasis will be placed on personal and interpersonal qualities. We offer Exciting and stimulating work in a strong and international academic
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Supervisory Team: Dr. Jie Yuan, Dr. David Toal PhD Supervisor: Jie Yuan Project description: Robust design is crucial to ensure the durability and reliability of aerospace components throughout
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perform an in vivo assessment of therapeutic efficacy. They must be engaged and dedicated to meet project deadlines and produce high-quality reliable data. This is a structured PhD and will require formal
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materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
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of these digital twins requires reliable and predictive models for microstructure formation during steel processing. These models should be based on accurate predictions of phase stability and defect kinetics
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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decision support systems will increasingly define the future. While significant strides have been made in the development of autonomous systems, their reliability and safety remain key concerns, particularly
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reliable, organized and motivated team player Excellent communication skills in spoken and written English What we offer Goal-oriented, individual training and development opportunities Working with
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and openness to new approaches, a high level of competence in oral and written German and English, reliability, engagement, and a high level of motivation, and capacity for teamwork. We offer