168 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Nottingham
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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Applications are invited for a PhD project within the University of Nottingham’s world-leading Centre for Additive Manufacturing research group (CfAM, Faculty of Engineering). Vision and motivation
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into a professional engineering career? Do you have the skills to encourage them to make the most of any opportunity? The Faculty of Engineering at The University of Nottingham is known for its world
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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of £24,000 p.a. for 4 years Applications
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Materials Research
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Sustainable and Resilient Chemistry are developed in collaboration with industry and as a partnership of several disciplines including chemistry, engineering, biosciences, computer science and business, the
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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We are pleased to share details of a permanent opportunity for a Cyber Security Analyst to join our dedicated Cyber Security team based in Digital & Technology Services. The Cyber Security Analyst
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The Manufacturing Technology Centre UK, and the University of Nottingham This project offers an exciting opportunity to undertake industrially linked research with engineering teams
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Cyber Security team based in Digital & Technology Services. The Cyber Security Analyst will be responsible for monitoring all computer systems connected to the university network to identify known