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grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. Here you will be a part of the UiT Machine Learning Group and will
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-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
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the offer. Field of Research The Postdoctoral Research Fellow will be part of the Phi_Lab research team, which specializes in advanced quantitative phase microscopy, optical diffraction tomography, and
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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is a significant factor in the evaluation. About the position of postdoctoral research fellow: The position of postdoctoral research fellow is a fixed-term appointment with the primary objective
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fixed-term duration of four years. This position offers a unique opportunity to develop your academic skills, contribute to new knowledge, and take part in an inspiring academic environment. About the
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are widely used in structural applications due to their low weight, good strength, high recyclability, and ability to enable cost-efficient manufacturing of complex-shaped components. However, due to
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structural applications due to their low weight, good strength, high recyclability, and ability to enable cost-efficient manufacturing of complex-shaped components. However, due to the interplay between
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The PhD fellow will be part of the research project Punishment as a Vehicle for Change? The Causal Impact of Norwegian Corrections on Reoffending and Reintegration in Norway and Beyond (NoReoffend