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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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. 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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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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processing and analyzing neural imaging data including calcium or voltage imaging. Techniques used in cellular and molecular neuroscience (e.g. optogenetics, cell patching, virus design). Documented experience
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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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the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular Ecology Group headed by Jørn Henrik Sønstebø
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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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, Interoperable, Reusable) knowledge that supports health-risk assessment, reporting, and decision-making. You’ll design and prototype scalable data workflows (e.g., ETL/ELT pipelines, data lakes/warehouses
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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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in linking developmental factors with aging-related processes. Extensive experience with both structural and functional brain imaging (MRI), with publications connecting MRI-derived measures