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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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elucidate novel interactions within critical signalling pathways and increase our understanding of signal transduction regulation of fundamental cellular processes. Funding notes: This is a PhD studentship
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and reliability. You will integrate, adapt and develop methods (using packages such as BioSPPy) for the processing and analysis of physiological signals measured for determining deception. The project
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Main description: G protein-coupled receptors (GPCRs) are a large family of integral membrane proteins comprising seven transmembrane α-helical domains that relay extracellular signals
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methods for load identification and modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM
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to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts *Candidates who have not yet been officially awarded their PhD will
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This fully funded 3.5-year PhD position aims to create new molecular tools that establish redox-sensitive binding interactions between small molecules and proteins for applications in biotechnology
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. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7
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This PhD project explores the use of plasmonic nanostructures for trapping and spectroscopic characterization of proteins, enabling real-time, label-free studies of their structure, dynamics, and
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation