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the project aims to provide new fault data and innovative workflows for fault seal analysis. The appointed candidate is expected to work with fault data both from outcrop studies, reflection seismic
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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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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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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