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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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Agreement number 101125383). The successful candidate will join a multi-disciplinary research team, with primary responsibilities related to imaging and examination of medieval polychromed objects in museums
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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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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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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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, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with
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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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, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples is being acquired, as well as a workstation for VR-assisted image analysis
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untargeted LC-MS analyses of biological samples. Experience with imaging methods such as IncuCyte, confocal microscopy and FLIM, for the analysis of subcellular cofactor concentrations using fluorescent
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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