16 developer-"https:" "https:" "https:" "Grenoble INP Institute of Engineering" Fellowship research jobs at UiT The Arctic University of Norway
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foundation for developing more targeted measures to ensure fair treatment and strengthen trust in the police and judicial system. Methodologically, the project is grounded in an epidemiological research design
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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populations in Northern Norway. VCR is a significant societal challenge and is strongly linked to poor health. The results may provide a foundation for developing more targeted measures to ensure fair treatment
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scientific integrity, we aim to be bold, engaged, and generous - closely connected to academia, people, and contemporary developments. Read more about UiT's strategy towards 2030 . Where to apply Website https
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for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
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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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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