22 component-labeling-cuda Fellowship positions at UiT The Arctic University of Norway
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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
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for domains relying on more complex visual data. Industries and applications such as medicine and health, the marine sciences, the energy sector, and earth observation are clearly affected. You will take part
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an engaged, proactive, and highly motivated candidate who enjoys exploring new technologies, works independently, and collaborates effectively with researchers and stakeholders. The position is part of
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international research collaboration including regional institutions like Framsenteret, IMR and NIBIO. The project The position is linked to the EU Horizon project BioProtect, which is a part of the EU Mission
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higher education from countries that are part of the Lisbon Recognition Convention. We offer Good career opportunities A unique opportunity to work with a highly international team and the largest
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be part of a research community with an excellent international reputation, and will also take part in ongoing research projects with extensive national and international collaborations. The candidate
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advertisement The position The Norwegian College of Fishery Science at the Faculty of Bioscience, Fisheries and Economics seeks a motivated Postdoctoral Research Fellow to be part of an innovative