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Field
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quantification for greater accuracy and reliability. Material failure is a critical area of study in engineering, as understanding how materials behave under stress is essential for designing safe and reliable
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for electric machines to address challenges of increasing efficiency, reducing weight, volume, cost, redundancy, and reliability. The candidate will prioritize industry requirements in designing, development and
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way of working • Reliable and conscientious working style • Fluent written and spoken English; German language skills are advantageous Please also apply if you do not yet have all the required skills
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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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technical and scientific problems. - You demonstrate a high level of reliability and consistency in your work. - You are highly organized and methodical in your approach to research. - You possess a strong
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-saarland.de/ecm2 ) Very good methodological skills Reliable, independent and committed work ethos Interest in developing and implementing research ideas in a team Commitment to excellence in research and the
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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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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