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participation in Lab meetings, workshops and other events; collaboration in methodological innovation with interdisciplinary and cross-sector partners through a range of modalities; the design and delivery
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-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics
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including from moored-sensors (e.g. acoustic Doppler current profilers), time-lapse bathymetric and sub-bottom profiler surveys of the seabed, and sediment cores. They may also assist in analysis
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purification using native and affinity-tagged proteins, biophysical analysis of metal-protein interactions (eg affinity determination by competition assays), and protein metal content analysis (ICP-MS). Protein
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recruitment, data collection, data management and data analysis. Contribute to the production of research reports and publications. Undertake narrative interviews and conduct focus groups with elite UK Sport
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Digital Simulator (RTDS) and Solar & Wind Emulator for real-time simulation and analysis of power systems and renewable energy, and control strategy development ; BubbleRAN platform to boost ORAN research
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under