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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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prepared for changes to your work duties after employment. Required selection criteria You must have experience with imaging, image processing, and/or visualization, as well as excellent programming skills
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Circulation and Medical Imaging
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UiO/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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to integrate experiments ranging from detailed mechanistic cell biology to in vivo imaging of GBM invasion. The aim of the project is to generate novel mechanistic insights into the cell biological processes
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine