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Job reference: SAE-030987 Salary: £37,694 - £46,049 per annum depending on relevant experience Faculty/Organisational Unit: Science and Engineering Location: Manchester Employment type: Fixed Term
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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: Study plasma physics and turbulence Develop and apply computational models Join a national training cohort and collaborate with partners including NTU, KSTAR team, and Deakin University Backgrounds
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering to conduct cutting edge research into upgrading novel biomass feedstocks with industrial
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. The practical teaching covers a range of subject areas designed around 3 main themes: Electrical, Electronic, Control, Computing & Robotics Materials Science, Bioengineering, Chemical Engineering Thermodynamics
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skills, and ensuring we remain at the forefront of emerging trends, technologies, and creative practices. We are particularly interested in specialists with knowledge and skills in: Product Technology
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to teaching, research, and knowledge exchange within the School of Engineering. This role presents a fantastic opportunity to shape our multidisciplinary engineering education. The successful candidate will be
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creative technologist to support the operation and growth of our creative computing and digital production facilities, including our Computing Hub and Creative Technology Lab. In this role, you will provide
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harness the convergence of AI with other frontier technologies — including quantum computing, engineering biology and advanced materials science. You will play a defining role in positioning Imperial
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-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . Our Values