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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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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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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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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 cell subsets. Qualifications - The Ideal
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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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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 employing data
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with silicon probes, Neuropixels, tetrodes or in vivo imaging. Demonstrated experience with computational, statistical analysis or modeling of large-scale behavioral and/or neurophysiological data (in
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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