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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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of Pharmacy. The project will focus on the synthesis of polymers that resist the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme...
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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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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collaboration within interdisciplinary research teams. Application Process: To apply, please submit your CV and a cover letter outlining your research interests and relevant experience to Connor.Taylor
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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specific motifs within the glycan chains defining binding sites for critical signalling and structural molecules. Unravelling the ways in which these motifs are encoded into GAGs by their biosynthetic
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in