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) is entitled Multiscale and multimodal spectral image acquisition, integration, analysis and visualization. Objectives: This project will develop strategies for the acquisition, integration, analysis
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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20 Mar 2026 Job Information Organisation/Company University of Bergen Department Department of Cultural History Research Field History Researcher Profile Recognised Researcher (R2) Positions Postdoc
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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of novel satellite data analysis algorithms and solutions that will form the technology foundation for new products. The position is for a period of three years. Admission to the PhD programme is a
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for autism, recruiting and testing participants, as well as data processing and analysis. The main goals of SHAPE are to map out the relationship between the visual perception of shape and its encoding