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REACTOR DESIGNS FOR THE SUSTAINABLE PRODUCTION OF LIGNIN-DERIVED END-PRODUCTS VIA DEPOLYMERISATION REACTIONS This exciting opportunity is based within the Advanced Materials Research Group
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Engineering (PhD) Eligibility: UK Students Award value: Home fees and tax-free stipend £20,780 - See advert for details Project Title: Machine Learning and Optimisation-Based Intelligent Substation Design in
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that
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trucking—efficient onboard ammonia cracking technologies are urgently needed. This PhD project will focus on the computational design and screening of new materials for the decomposition of ammonia
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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trucking—efficient onboard ammonia cracking technologies are urgently needed. This PhD project will focus on the computational design and screening of new materials for the decomposition of ammonia
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: Dr James Yates, Director GSK Aligned programme of study: PhD in Mathematics Mode of study: Full-Time Project description: HIV remains one of the most persistent and challenging infections to cure due
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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extraction, manufacturing, and recycling, are underexplored. This project aims to enhance sustainable machine design through life cycle assessment (LCA), focusing on environmentally friendly materials and