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Funding for: UK Students Discipline: Engineering & Technology, Electrical and Electronic Engineering, Other Engineering, Physical & Environmental Sciences Qualification: Doctor of Philosophy in
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be expected to receive a minimum 2:1 or 1st class degree in aerospace engineering, mechanical engineering, physics or a related engineering discipline. A Masters qualification is an advantage but not
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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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of Mechanical and Aerospace Engineering and is available to UK students. The successful student will receive an annual tax free stipend set at the UKRI amount (£20,780 for 2025/26) and tuition fees will be paid
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salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics
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Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description The research group Cyber-Physical Systems of Prof. Matthias Althoff
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programme . This project is suitable for a student with a first-class degree in engineering, chemistry, physics or a closely related physical science. How to apply Applications should be submitted via
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We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical engineering, or biomedical engineering to join our research team as a Research Scientist/Engineer. This
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that