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large-scale public datasets from various social and economic sectors with machine -learning based analysis. In addition, the study will involve the design and deployment of micro-surveys at the individual
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the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other contemporary data-driven techniques. Computational
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thorough interest in NMR spectroscopy and X-ray crystallography in structural biology Expertise in experimental techniques (e.g. NMR spectroscopy, NMR data analysis, RNA wet lab work, other biophysical
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data, interviews, case studies, financial modelling, socio-economic and policy analysis to study renewable energy project development, environmental impacts, social interactions, markets, policy, and