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-dimensional data, survival and event history analysis, model selection and criticism, graphical modelling, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space
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their final master exam before 01.08.2025. It is a condition of employment that the master's degree has been awarded. Experience of structural geology and basin analysis is a requirement. Experience of
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the project choice. Applicants must demonstrate sufficient technical skills required for their proposed project, for example prior experience in photogrammetry, time-series analysis, or cryospheric
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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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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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, 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