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of innovation, developing and implementing digital twins to simulate, optimise, and accelerate bioprocess development. From microbial engineering to process optimisation, your work will redefine the landscape
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ballistic events, and which contain enough physical understanding of deformation and failure behaviour to provide insight into how processing affects the final response. This project will address this problem
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microscopes. Who we are looking for An enthusiastic, self-motivated, resourceful candidate with a 1st or 2:1 in Engineering or Physics. Programming and signal processing and fundamental skills to undertake
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1st or 2:1 in Engineering or Physics. Programming and signal processing and fundamental skills to undertake the project however experience in optics, ultrasonics and or cell culture will be also
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within interdisciplinary research teams. Application Process: To apply, please submit your CV and a cover letter outlining your research interests and relevant experience to [email protected]
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expect to obtain, a first-class or 2:1 degree in Engineering, Physics, Chemistry or a science related discipline. This position is only available for Home (UK) applicants. How to apply Please send your
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paradigms in reinforcement learning can be utilized to power robotics systems in autonomously optimizing the battery disassembly process from sensor feedback. Motivation The surge in electric vehicles (EVs
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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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of small and polymeric molecules, and the development towards a large-scale manufacturing process. As this PhD is a collaboration between Nottingham, York and Croda there will be the possibility of reach
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are preventable. Current processes to improve health and welfare often depend on short physical visits to farms, however, this is subjective, expensive, and important information is missed. The use