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15th June 2025 Languages English English English The Department of Clinical and Molecular Medicine has a vacancy for a Postdoctoral Fellow in artificial intelligence-based image analysis Apply
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remote sensing research in one of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
next generation neural networks for advanced analysis of image and multimodal data. Central research challenges are to develop neural networks that learn more efficiently from limited data
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the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing
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enabling and coordinating metabolism. In the course of evolution, the same molecules have attained more and more key roles as regulators of virtually all biological processes, often through posttranslational
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computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging
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and European Molecular Biology Laboratory (EMBL) will provide support to state-of-the-art equipment and expertise in cardiac cell biology as well as advanced imaging technology. This project requires
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will build on a theoretical foundation from numerical and functional analysis, as well as image processing. About CSSR and the Department of Mathematics at UiB CSSR is a national research center
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of introducing Software-Define technologies into wireless sensor networks (WSNs). Since SDN was initially designed for traditional wired and wireless networks, using its new paradigm for WSNs would pose challenges
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techniques, different histological methods and advanced imaging. Contact For further information about the position, please contact Associate professor Anett Kristin Larsen : phone: +47 77 62 52 12 e-mail