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Field
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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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with laboratory work is an advantage. Experience with statistical analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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properties optimized as selective oxygen carriers advanced characterization of surface and bulk kinetics — isotope gas‑phase analysis and electrochemical methods studies of surface micro-, defect- and
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algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
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demonstrated knowledge of, experience with and interest for life-history interviews, narrative analysis and life-course criminology is desirable. Knowledge of, or experience from, any of the involved countries
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rely largely on empirical interpretation of the acoustic data, limiting the precision and transferability of DAS-based analysis between different installations. A significant barrier is a lack of
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approaches, but also methodological patterns associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis
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handling data, analysis and results A drive to take ownership of your own research project and education Ability to handle critique and suggestions in a constructive manner A positive attitude and drive
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deviation analysis of probabilistic models, and associated problems in PDE, with emphasis on identifying both well- and ill-posed examples and the interplay between probabilistic analysis and the analysis