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in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of
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in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of
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and experimental animal tumor models, including planning and execution of experiments involving 212Pb-labelled FAPI-2286 and PSMA-targeted radiopharmaceuticals, as well as external beam radiotherapy
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attitudes. Do you want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellow on the topic
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the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes. Do you want to take part in shaping the future? ... (Video
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lines Perform proximity labeling assays, immunoprecipitations, and proteomics sample preparation Analyze fixed and live-cell imaging data using fluorescence microscopy Quantify autophagy flux and
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Habitability” (GOE-PHAB) project funded by the Research Council of Norway. GOE-PHAB, in collaboration with the Geological Survey of Norway (NGU), is part of the international initiative (18 partner countries
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the Geological Survey of Norway (NGU), is part of the international initiative (18 partner countries) GOE-DEEP (Gabon and Oxygenation of Earth – Drilling Early Earth Project), which aims to obtain 11 drill cores
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voltages with high repetition rate. These sharp voltage flanks introduce different stress distributions internally in components and can induce or accelerate degradation and lead to premature breakdown
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. Responsibilities This research fellow position is part of the R&D project PHMHydro – Performance and Health Monitoring for Hydroelectric Powerplants . PHMHydro is a collaboration between the University of Agder