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Field
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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for wastewater treatment, do analysis of both sludge and water by using various analytical instruments, and conduct bioinformatic analysis. Candidates with high motivation and degrees in environmental engineering
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applications such as drug delivery. Possible outcomes and goals: Studying the interaction of collections of synthetic cells (i.e. proto-tissues) for tissue engineering and regenerative medicine applications
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will need to complete the online application form for a full-time PhD in Science and Engineering, Department of Sport and Exercise Sciences (or download the PGR application form ). You should provide a
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without prior discussion. To apply you will need to complete the online application form for a full-time PhD in Science and Engineering, Department of Sport and Exercise Sciences (or download the PGR
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent hardware. Through collaborations with the Aerospace Integration Research Centre (AIRC
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physiology etc. This PhD project is suitable for applicants with a background in Electrical and Electronic Engineering or closely related fields. Candidates with a strong interest in RF engineering and/or
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horizons. It plays a pivotal role in the £65 million Digital Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent