61 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Oslo in Norway
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communities make UiO an important contributor to society. The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
) - an interdisciplinary collaboration between five research fields in physics and chemistry, which spearheads the MN Faculty's efforts for sustainable energy solutions. The Centre comprises UiO’s focus on renewable energy
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting
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The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
Science and Nanotechnology (SMN) - an interdisciplinary collaboration between five research fields in physics and chemistry, which spearheads the MN Faculty's efforts for sustainable energy solutions
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at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the Departments of Physics and Technology, Mathematics and Statistics, and Computer Science. via Unsplash Project
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for this job See advertisement About the position A 3-year full-time Postdoc position (SKO1352) in Experimental Systems Immunology is available at the Department of Immunology, Institute of Clinical Medicine
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injectivities. Much research have been done to understand the physics of salt precipitation, but little is known on how geological heterogeneities at various scales affect the extent of salt formation
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of Physics and Technology, Mathematics and Statistics, and Computer Science. More about the position We welcome applicants with a strong background in machine learning, causal inference, and statistics, who
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degree in astrophysics, physics, or a related field. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are