622 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" uni jobs at University of Sheffield
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
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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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BBSRC Yorkshire Bioscience DLA Programme: Defining the Reproductive and Offspring Developmental Impacts of e-Cigarettes
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work closely with module leads and programme teams to ensure the effective delivery, assessment and evaluation of taught modules. You will contribute to curriculum delivery by preparing high-quality
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objectives as experiments progress, initiate, and implement relevant programme of research. Disseminate research findings/results through the production of papers for high quality journals and presentation
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apprenticeship and/or training programme, or equivalent practical experience. Essential Application Hands-on engineering experience, with a proven track record of involvement in both design and machining work
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Hybrid Multi-Laser Laser Powder Bed Fusion for Next-Generation Metallic Components School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application Deadline: Applications accepted all year round Details About the Project The additive manufacturing...
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Spin and superradiance in General Relativity School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Sam Dolan Application Deadline: Applications accepted all year round Details In General Relativity, bodies in freefall follow geodesics in spacetime. For example, the...
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systems including email, VPN, Wi-Fi, printing services, and learning management platforms Set up and configure equipment including computers, monitors, printers, and other peripherals Maintain and
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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View