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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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lines Perform proximity labeling assays, immunoprecipitations, and proteomics sample preparation Analyze fixed and live-cell imaging data using fluorescence microscopy Quantify autophagy flux and