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dealing with investigations on the development of bespoke high-tech laser beam processing methods for surface treatment and repair of aero-engine components. The project will deal with the study of a new
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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; stem cells; and surgery. A number of pivotal discoveries have been made in Nottingham with current research continuing to provide exciting data, improving our understanding of breast cancer and
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with reduced material waste and minimal post-processing. At CfAM, we have developed the first and unique multi-material MMJ platform capable of printing two metals within a single build at microscopic
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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, addressing challenges in (re)manufacturing processes. Motivation The global climate crisis is calling for fundamental transformations in how we design and produce. With advanced robotics technologies
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fucosylation (and glycosylation) of proteins modulate their structure, stability and function. FUT2 has been implicated in several biological processes including modifying mucins (e.g. glycosylation of MUC5AC
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note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Application Process Informal enquiries may be addressed to: Dr Stephen Ambrose – Stephen.Ambrose3
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of approximately £20,780. After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process Interested applicants can find out more by contacting me via