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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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approaches where required. Perform electrical and high-frequency measurements to assess device behaviour, signal characteristics, temporal response, repeatability and device-to-device variability. Acquire and
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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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in addition to the stipend. Application Procedure Informal enquiries are welcome and can be made directly to Associate Professor Camilla Devitt, Department of Sociology at Trinity College Dublin
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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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balance, and outgassing testing, essential for qualifying hardware for launch and orbital operation. The Space Lab also offers access to a wide suite of engineering and simulation software for electronics