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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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. 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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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
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within a broader network of dynamic, enthusiastic researchers including Clinical staff, Biologists and Chemists. Your career development will be well supported, and specific training will be provided where
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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Overview We are looking for a Psychology graduate to support the work on Equality, Diversity and Inclusion (EDI) across the Doctorate in Clinical Psychology training programme. This post is to
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into the distribution and function of MFRE, particularly how they may contribute to plant health, diversity, and ecosystem dynamics across a range of environments. Applicants must have a BSc or MSc in biology, ecology
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD