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Cathodoluminescence microscopy. Image analysis. Vitrinite Reflectance analysis. Raman spectroscopy. Porosity and permeability analysis. Relevant experience from rock deformation experimental work and/or numerical
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research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the role of secreted immune metabolites in these dynamics. The successful candidate will
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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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of the below will be considered an advantage: Deformation in porous clastic rocks. Microanalytical experience on carbonaceous material. Optical, SEM and Cathodoluminescence microscopy. Image analysis. Vitrinite
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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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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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or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload. Please note that information on applicants may be published even if the applicant has requested
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof
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of the transition from open pores to hermetically sealed fluid inclusions. To this end we have employed various small-scale imaging techniques in 2D and 3D, using facilities available in Bergen and collaborating with
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neuro-imaging (https://www.ntnu.edu/langdevlab#/view/publications ). The main responsibility of the postdoc will be to conduct research in the newly awarded ERC Synergy grant SHAPE (https://www.ntnu.edu