566 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Sheffield
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design, process simulation, material characterisation, process monitoring and control, as well as post-processing techniques including heat treatment, machining and surface finishing. You will play a key
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Digital and sensor based conformance validation for large scale forged components (C4-AMR-Crawforth)
intermediary data streams that can offer insight into how the component and manufacturing process is performing. Within both of the fields of forging and machining there are numerous industry-ready low-intrusive
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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
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developing a computational model that simulates blood flow for ICH patients. The research will exploit a powerful new approach — physics- informed neural networks (PINNs) — that combines machine learning with
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reducing the number of pixels used for the same region of interest and thus get a rather blurred image or c) acquire a sparse dataset where the electron beam has skipped certain (random) positions. Some
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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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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)
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to support thousands of staff and students. You’ll be part of a skilled, supportive team who share knowledge and take pride in maintaining our world-class learning and research environment. If you enjoy
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is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will be provided. Why This Matters Efficient storage technologies are essential for a carbon-neutral future
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engineering, physics or applied mathematics. Interests in CFD, computer programming and nuclear engineering are desirable but pre-knowledge and experience are not essential. The student is expected to present