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Field
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networks. Causality analysis on time-series data will be considered an advantage when candidates are ranked. Candidates already holding a PhD within this field are not eligible for this position. In
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group is active in a wide range of theoretical and applied areas, including inference for high-dimensional data, survival and event history analysis, model selection and criticism, graphical modelling
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, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual
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system Fluent oral and written communication skills in English and ideally also a Scandinavian language. Desired qualifications: Prior experience with analysis of observational remote sensing data sets and
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for congestion management. Analysis of flexibility value chains and market designs for flexibility procurement and activation aiming to provide ancillary services. Agreement and grid tariff-based flexibility
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, sensor networks and measurement technology, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will be part of a research