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Science and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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the computational design and synthesis of peptides and small molecules, the analysis of compounds binding to proteins and their activity in cancer cells. Led by Dr Andrew Beekman and Professor Mark Searcey, there is
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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mediator of signalling molecule interactions. Signalling proteins with SH2 (Src Homology 2) domains modify their function and activity through binding phosphotyrosine residues and we recently identified
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natural conditions in the laboratory. Marine phytoplankton, which act as the base of the marine food web and contribute to major global biogeochemical cycles, will be used as a model to understand
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-matter interactions control and optimisation. The PhD will advance our comprehension of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent
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configurations will be used to develop models in Matlab/SIMULINK of bipole converters with neutral current regulation. The research will then consider the potential interactions that may occur when all
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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Antimicrobial resistance is one of the most serious threats to humans in the 21st century. Understanding antimicrobial resistance mechanisms is pivotal for combating superbugs. Pathogens use many
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises