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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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. Project Leads are Dr Simona Capisani and Prof Karen Johnson and you will contribute to the analysis of collected qualitative data, data interpretation, and possible write-up using a range of analytic
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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
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successful applicant will be expected to lead and develop qualitative research activities, data analysis and project support. The applicant will have responsibility for leading participatory research
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research with parents in the context of adolescent safety and harm to shape social work reforms. The successful applicant will be expected to lead and develop qualitative research activities, data analysis
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interviews and focus groups and completing analysis The successful candidate will have a strong academic track-record, including experience in designing, carrying out, analysing, and interpreting high quality