303 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St"-"St" positions at University of Sheffield
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. We’re looking for an Events Officer who will use their exceptional event management and organisational skills to deliver a programme of alumni events. You’ll also support other CAR teams to deliver
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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
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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 Application Deadline: Applications accepted all year round Details Conduct research that will enable 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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partners. Plan for specific aspects of the research programme as discussed with the supervisor of the project. Assist in the day-to-day management and delivery of the project. For each particular hypothesis
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biomechanics, computational modelling, sustainable materials, and translational medicine. This studentship brings together world-leading expertise in biomechanics, materials science, and neurosurgery to achieve
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle
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CAF activation, senescence markers, and extracellular matrix composition, with computational analysis of stromal and immune cell populations. An exploratory component will assess tissue stiffness using
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Neuro-Symbolic AI for Trustworthy Clinical Decision-Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino)
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR