30 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Department of Political Science" Fellowship positions at UiT The Arctic University of Norway
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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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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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AIS data from ocean-going vessels. The objective of the Ph.D. position is to develop: Development of frequency domain machine learning applications to detect risk or threat situations in underwater
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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The position Do you hold a PhD in molecular biology (or a related field) and have a strong interest in the molecular mechanisms underlying antibiotic resistance development? Are you motivated to conduct
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was founded in 1872 and is North Norway’s oldest research institution. The museum was incorporated in Tromsø University in 1976. Our main tasks are research, research communication, development and maintenance
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of Physics and Technology . The position will be hosted in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical