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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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or equivalent tools will be used for signal processing, system identification and quantitative comparison between electrical measurements and independently measured reference data. The project will therefore
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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the heart. The project offers opportunities to work across multiple disciplines, including: Machine learning and artificial intelligence Biomedical signal processing Computational modelling Clinical
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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technique in which pre-compacted swarf is heated to just below the melting point of the material and then deformed. Done correctly, this fusion bonds the material together. The route allows waste swarf to be
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PhD Studentship: Understanding how redox regulation processes facilitate platelet function Platelets are tiny circulating blood cells which prevent bleeding from damaged blood vessels (haemostasis
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, which can be treated with a combination of vitamins related to this pathway, which is currently being tested in clinical trial. In particular, our data point to the importance of folate for neuronal
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ultrastructural assays to assess: Oxidative stress and mitochondrial function Lysosomal/autophagy flux and waste disposal Inflammatory signalling and complement activation Cell survival, death pathways, and barrier
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processing Signal analysis and feature extraction from complex, temperature-dependent EM data Integration of sensing data with metallurgical characterisation and physical interpretation Development