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theory to lightweight on-hardware prototypes, with publications targeted at leading IEEE venues in communications and signal processing, and relevant AI venues. Indicative directions (choose one or combine
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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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, hands on skills in implementation of fusion/learning based techniques in the areas of robotics, or autonomous systems, interested in autonomous systems and signal processing, Keen to work with equipment
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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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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/learning based techniques in the areas of robotics, or autonomous systems, • interested in autonomous systems and signal processing, • Keen to work with equipment and embedded
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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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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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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 framework to accommodate new components
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environment Proven ability to use a scientific programming language such as python or MATLAB for signal processing A desire to improve therapies available to patients with neurological conditions Excellent