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                Field
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                Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within 
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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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                of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early 
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                -structured films and their optical response. It is essential you have a PhD or equivalent professional qualifications, and experience in aligning and setting up bespoke optical set ups. Experience in working 
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                , computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data 
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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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                engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are 
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                , computational imaging as well as computer vision applications Key Responsibilities: The roles of this position include: Research on the cutting-edge AI algorithms for processing and modeling high-dimensional data 
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                research exploring how the brain regulates perceptual and cognitive processes. In this role, you will conduct human studies using behavioural testing and brain imaging techniques to investigate a range of 
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                inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable