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on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. The position is available for a period of 3 years. There is a 10 % component of the
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quantitative analyses of national and/or international large-scale assessment data, including the analysis of longitudinal data Applicants must have documented advanced knowledge of educational inequalities
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, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge, preferably in seal/reservoir/overburden heterogeneities, static
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evidenced in relevant publication(s) Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant
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. The work will be at the interface between data analysis and theory. We are also open to employing data-driven techniques if the candidate wishes. The ocean is currently evolving with the changing climate
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types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to employing data-driven
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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and Image Analysis as part of Visual Intelligence , Norway’s leading research centre in deep learning for image analysis. Starting date as soon as possible. The fellowship period is three years. A
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using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory
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spectrometry (LC-MS) analysis of established disease biomarkers. Novel MIP-assays developed in the project will be validated against conventional assays (including both immunoassays (where available) and MS