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to show leadership in scientific projects commensurate with career level. Skills 8. Quantitative skills for analysis of complex spatial survey data, such as via a GIS 9. Numerical skills appropriate
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. Funded by an award from the Economic and Social Research Council’s Secondary Data Analysis Initiative, this project led by Dr Stephen Ashe (profile here ) seeks to offer an intersectional re-reading
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to write material of a quality commensurate with publication in highly-ranked journals. · Demonstrable ability to present research findings at meetings or conferences and to communicate complex
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of career. Demonstrable ability to present research papers at national/international conferences and communicate complex information to specialists and within the wider academic community, commensurate with
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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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modelling of shapes changing in time, and involves mathematical and statistical techniques from statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics
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to write material of a quality commensurate with publication in highly-ranked journals. · Demonstrable ability to present research findings at meetings or conferences and to communicate complex
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papers at national or international conferences and communicate complex information to specialists and within the wider academic community. Experience in one or more research areas relevant to the project
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-modal data processing for real-world robotic applications. Strong background in deep learning, supervised and unsupervised learning, time-series analysis, information visualisation, with experience in
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simulation and analysis of power systems and renewable energy, and control strategy development; · BubbleRAN platform to boost ORAN research and test ORAN built-up; · OPAL-RT, a powerful real