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Profile: The successful candidate will have (or will be about to receive) at least an upper second class degree in mathematics, engineering, physics or computer science with strong skills in modelling. We
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or computer science with strong skills in modelling. We are looking for a bright, committed individual, with a mature approach to self-led learning. The ability to communicate with external stakeholders is essential
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View All Vacancies Biosciences Location: UK Other Closing Date: Friday 24 May 2024 Reference: SCI275 Supervisor: Roseanna Mayfield Secondary Supervisor: Sofie Sjögersten Research Description Arctic and Subarctic peatlands are rich in carbon and account for c. 20% of permafrost (layers of...
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View All Vacancies Engineering Location: UK Other Closing Date: Friday 07 June 2024 Reference: ENG1758 This exciting opportunity is based within the Optics and Photonics Research Group
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses including sessions
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2:1 in undergraduate degree in a relevant subject (Aerospace Engineering, Chemical Engineering, Civil Engineering, Computer Science, Electronic, Electrical and Systems Engineering, Mechanical
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in a relevant area (e.g. computer science, engineering, biology, chemistry, physics, psychology, radiography, nursing or medicine) or a 2:2 and a relevant MSc. For more information and the online
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thought leader in the field. Who We Are Looking For First-class or equivalent in chemical engineering, biotechnology, computer science, mathematics, or a related discipline. A 2:1 may also be considered
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View All Vacancies Engineering Location: UK Other Closing Date: Tuesday 30 April 2024 Reference: ENG1757 Supervisors: Dr. Luke Parry, Dr. Vitor Marques (Industrial Supervisor) About the Project
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, The University of Nottingham. Applicants are invited to undertake a 3 year PhD program in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful