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background in physics, engineering, mathematics, or related quantitative discipline Interest in biological systems and interdisciplinary research Experience or willingness to learn computational modelling
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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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confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care
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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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. 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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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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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