22 component-labeling-cuda Fellowship positions at UiT The Arctic University of Norway
Sort by
Refine Your Search
-
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
-
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
-
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
-
lines Perform proximity labeling assays, immunoprecipitations, and proteomics sample preparation Analyze fixed and live-cell imaging data using fluorescence microscopy Quantify autophagy flux and
-
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 in the Visual Intelligence
-
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
-
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
-
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
-
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
-
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