58 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" Fellowship scholarships in Norway
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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will become member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
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practical information about 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
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16 Jan 2026 Job Information Organisation/Company University of Stavanger Department Department of Innovation, Management and Marketing Research Field Geography » Economic geography Economics
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services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility UiT via Unsplash UiT How to apply Please note that the application will only be
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include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Inclusion and diversity UiT The Arctic University of Norway is
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be found here: https://uit.no/staffmobility UiT via Unsplash UiT How to apply Please note that the application will only be assessed based on the information submitted by the application deadline via
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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on effective and safe inspection and maintenance. Current maintenance approaches rely primarily on turbine sensor data, meaning that human and organizational factors are largely overlooked. This represents a