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of high-affinity antibodies without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the
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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 lead a project to develop novel
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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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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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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate
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questions related to the molecular regulation of autophagosome formation, using cell biological, genetic, and imaging-based approaches. The candidate will explore the function and regulation of proteins
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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 external project partners. The Postdoc will
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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