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and Britain are world leaders and major exporters. This high technology global industry is worth more than £30 billion per annum. Current challenges are arising from the need to address environmental
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-harvesting technologies to promote sustainability. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge facilities, and strong industry
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on technical performance as well as the associated manufacturing, installation, and maintenance costs. This project will propose newer designs or design modifications to address existing challenges or adapt and
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. This exciting role offers the opportunity to contribute to cutting-edge research with real-world impact, collaborating closely with industry partners and supporting the transition to more sustainable healthcare
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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Research/Industry Experience: Split your time between advanced laboratories at The University of Sheffield and John Crane’s Research Centre in Manchester and Manufacturing site in Slough. Project Overview
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
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significant impacts on reducing machine downtime in many industrial applications, including steel casting, paper mill, food industry, wind energy, etc., which leads to reductions in operation and maintenance
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL