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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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technologies that is rapidly changing society. Despite these advances, the potential for deep learning and machine learning solutions for image processing is vast, especially for domains relying on more complex
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. Responsibilities Perform intravital surgery to implant optical imaging windows over draining lymph nodes for long-term, real-time tracking of T-B cell interactions. Develop novel sensors for intravital imaging using
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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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Infrastructure? No Offer Description Job description The University of Stavanger invites applicants for a PhD Fellowship in information technology applying artificial intelligence in medical imaging at the Faculty
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, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging windows over draining lymph nodes for long-term, real-time tracking of T-B cell interactions. Develop
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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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generating transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging
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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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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image