567 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" 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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undertaking this project will gain expertise in computer vision, machine learning, and human-centred applications of artificial intelligence, while also developing skills in interdisciplinary research
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acquire new skills during their time in the role. The School of Biosciences at the University of Sheffield has state of the art facilities, including the Wolfson light microscopy facility. The wider
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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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intellectual and research leadership within the school and discipline. Lead high-impact, long-term research programs and secure major grants. Mentor PhD students, postdocs, and tenure-track faculty. Teach
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experience Essential Application/interview Highly computer literate with excellent communication skills (both written and verbal) and adaptability in your approach working with colleagues at all levels
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thermal analysis system in one of our Laser Sintering machines in the Advanced Polymer Sintering Laboratory here in Sheffield, which will provide novel insight into thermal effects within the process
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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