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enhanced control over melt pool solidification dynamics, thermal gradients, and microstructural evolution, while simultaneously aiming to increase build speeds and reduce energy consumption. This research
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diverse, fascinating and dynamic role where you will advise on commercial contracts that are at the forefront of world-leading innovation by a world-renowned University. In addition to supporting the AMRC
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, and technology grows, the dynamics between these systems become more apparent. How is our decision making evolving in response to a technological world with which we are able to interact? How
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supporting satellite sites, a full UK driving licence is essential for this dynamic role. Assist in the implementation and monitoring of the university’s health and safety policies and procedures. Conduct risk
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technician with a background in manufacturing to join our dynamic teaching team. You will work with colleagues to support practical teaching in the Advanced Manufacturing theme. Main duties and
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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accepted all year round Details Mitochondria-lysosome contact sites (MLCSs) are dynamic inter-organelle interfaces crucial for cellular homeostasis, facilitating metabolic exchange, organelle quality control
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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based knowledge of the system offers a unique opportunity to enhance the understanding, prediction, and optimization of body dynamics and their physical interactions with the environment. Low fidelity ML