50 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Aix Marseille Université " positions at UiT The Arctic University of Norway
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associated with research group of Professor Abhik Ghosh (https://en.uit.no/project/softmatter ). The Ghosh group is renowned for its fundamental discoveries on corroles and is currently exploring a variety of
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Resource Management and Development, Environmental and Resource Economics. The position is within the center for research-based innovation: SFI Dsolve - Biodegradable plastics for marine applications which
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molecules/nanoparticles-based therapies, and transcriptomics. In order to achieve a targeted use of the postdoctoral position, and to strengthen the employee’s career development, a development plan must be
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Pharmacological sciences Researcher Profile
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Pharmacological sciences Researcher Profile
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practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by
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the Translational Research Accelerator (TRA) theme that will contribute to model development and establishment, to address clinical questions raised within the three projects. The PhD project will be within TRA, and
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Biological sciences Researcher Profile
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Group at the Department of Physics and Technology. We welcome applicants with a solid background in biophotonics, computational imaging or automation, who want to contribute to the development of cutting
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop