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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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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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strong background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience
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. 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. We are also open to
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Fluent oral and written communication skills in English Prior experience with methodological research, as evidenced in relevant publication(s) Proficiency in programming and data analysis in
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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
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at Kyoto University, and includes a research exchange. Analyze imaging data using Imaris and custom software. Conduct single-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B
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-cell TCR and BCR analysis, and RNA transcriptome profiling of relevant T and B cell subsets. Colourbox via Unsplash Colourbox Qualifications - The Ideal Candidate We are seeking a highly motivated
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. The candidate will participate in study design, data collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. Further details about the project