51 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions at Cranfield University
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contextualise your academic learning within industrial practice on gas splitting. This placement will provide direct exposure to the issues HiiROC is facing in the development of solid carbon market and relative
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factors analysis, and offshore operations. Transferable skills include data analytics, Python/MATLAB coding, AI model development, human-machine systems thinking, and research project delivery
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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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. Cranfield University is a unique learning environment with world-class programmes, and close links with business, industry and governments, all combining to attract the best students and teaching staff from
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. Assess ecological change by applying shotgun metagenomics and amplicon sequencing to track microbial community shifts under persistent wet skimming. Translate lessons learned into engineering design rules
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learning environment with world-class programmes, unrivalled facilities, and close industry links, attracting top students and experts globally. As an internationally recognized leader in AI, embedded system
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institutions. State-of-the-art facilities: Access advanced laboratories and high-performance resources. Flexible learning: Tailored research projects aligned to personal interests and career aspirations. Career
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structure would enable you to understand science better at atomic level. You will learn the skills of presenting the results to small and large groups of people via presentations in conferences and meetings
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parts of CBM. Therefore, diagnostics and prognostics of rotating machinery can help to reduce machine downtime and cost. Many techniques such as vibration analysis, current signature analysis, acoustic