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-treatments remove large percentages of the feedstock (lignin), low yield overall and/or low quality of products. This project will focus on the development of a novel approach to convert the residues
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of the local cyberphysical system in order to attribute attacks or detect stepping stones. This prompts several big research challenges. First, invisibility -- attackers avoid detection borrowing techniques from
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of the local cyberphysical system in order to attribute attacks or detect stepping stones. This prompts several big research challenges. First, invisibility -- attackers avoid detection borrowing techniques from
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at Newcastle University with Dr James A Dawson. The successful candidates will be part of a large group working on solid-state batteries as part of the UKRI Frontier Research Grant “AMPed”. Number Of Awards 3
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practitioners with advanced knowledge and skills in geospatial data science, including big data and artificial intelligence approaches. Successful applicants will conduct interdisciplinary PhD research with