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analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate
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collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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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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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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, 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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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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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