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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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                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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                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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                . 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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                UiO/Anders Lien 1st November 2025 Languages English English English PhD Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Position as PhD Research 
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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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                for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing 
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                preconditioners for Newton methods. Concrete model problems and numerical examples will be used to guide and prototype the development. About the Department of Mathematics at UiB The prospective PhD candidate will 
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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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                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