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of wear and fatigue failures – design life is 20 years but bearings rarely last that long (3). As machines have got larger, this state has worsened. Manufacturing very large bearings (up to 5m diameter) is
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application in a working environment in some of the following: Insect neuroscience/behaviour; Electrophysiology; Data/image/video analysis; Drosophila genetics; Electron microscopy; Computer programming
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experience, or keen to learn the research knowledge in power systems, cyber-physical systems, computer science, information and communications technologies, and computing and data platforms. The perspective
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Modelling, DEM simulations and Machine Learning Approaches. You will have access to the excellent training opportunities at the University of Sheffield. A range of highly desirable skills will be learnt
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and monitoring data can be used to develop machine agnostic process control methodologies. Perform metallographic and non-destructive assessment of LPBF builds to assess and classify build quality
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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artificial intelligence/machine learning may be applied are encouraged to apply. If you are interested in research in brain-machine interfaces, and are unsure about whether you have the right background
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capable of predicting boiling and CHF in PWR-relevant conditions. Combining improved physical modelling with the potential of machine learning and data assimilation techniques, you will specifically target
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Application Deadline: 30 April 2025 Details Can you accurately predict the winner of an election by surveying very few voters? Can your machine learning model give reliable and fair recommendation for a home
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academic departments regarding concerns about student mental wellbeing via Mental Health Guidance and Liaison Desk. Maintain accurate and timely records on a computer system, working in accordance with