565 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of Sheffield
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that can use explanation as a core mechanism for learning and reasoning in natural language. To this end, he investigates the integration of neural and symbolic AI methods to enhance the robustness and
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tool wear, decreased part quality, and costly unplanned machine shutdowns. The challenge facing manufacturers is that MWFs contain complex chemistries susceptible to attack from heat, contamination
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computer programming skills. If English is not your first language, you may be required to provide evidence of English language proficiency (e.g. IELTS or TOEFL), in accordance with the University
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Overview The Campaigns and Alumni Relations (CAR) department sustains and grows the relationship between the University and our global community of alumni (former students), donors and friends
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
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data acquisition. • Computational techniques, including machine learning and statistical inference. • Collaborative research at the interface of mathematics, biology, and physics. Why us? The
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physical systems. You will explore how the dynamic behaviour of nanomagnetic devices can be used to realise these KAN functions directly in hardware. Working with a combination of modelling, machine learning
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing