728 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at University of Sheffield
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systems, products, ensuring accuracy and relevance to real-world operations. Lead the analysis of simulation outputs and present findings through clear visualisations, technical reports, and presentations
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to represent manufacturing processes, workflows, and systems, products, ensuring accuracy and relevance to real-world operations. Analyse simulation outputs and present findings through clear visualisations
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such as inflammasome activation, reactive oxygen species (ROS) production, and metabolic reprogramming. NME4, also known as nucleoside diphosphate kinase D (NDPK-D) or NM23- H4, is a mitochondrial enzyme
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round Details Networked systems are ubiquitous in the modern world, for example, smart grids, financial systems, and industrial processes are prime examples of these. As these systems grow in size and
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Overview Are you ready to take on a pivotal role in a team at the forefront of Additive Manufacturing? The University of Sheffield’s AMRC North West is seeking an exceptionally skilled and ambitious
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Funded UK Students Prof Russell Hand, Dr Clare Thorpe Application Deadline: Applications accepted all year round Details Saturn_Nuclear_CDT UoM_Nuclear This project is focussed on supporting
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, installations, associated plant, appliances and systems. Complete jobs safely, following correct procedures, ensuring work is completed on time and in compliance with the University’s policies, current technical
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Deadline: Applications accepted all year round Details The aim of this PhD programme is to develop efficient numerical strategies for the prediction and assessment of fracture. Our group has got success in
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Learning Environment, student records systems integration, assessment and marks management platforms, and the digital tools that underpin teaching delivery across faculties. The postholder will work directly
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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