123 quantum-engineering-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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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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Backreaction of quantum fields on black hole space-times School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Elizabeth Winstanley Application Deadline: Applications
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Overview Are you passionate about shaping the future of manufacturing through cutting-edge research and innovation? As a Manufacturing Research Engineer at the Advanced Manufacturing Research Centre
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Overview As an Assistant Software Developer within The Integrated Manufacturing Group (IMG), you’'ll deliver cutting-edge research projects spanning robotics, automation, and digital transformation
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Overview Are you passionate about shaping the future of manufacturing through cutting-edge research and innovation? As a Manufacturing Research Engineer at the Advanced Manufacturing Research Centre
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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Overview You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network’s
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Overview Are you an engineer or STEM professional with a thirst for knowledge and a talent for picking up new skills quickly? Do you thrive on a mix of hands-on experimental work and in-depth data