60 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Oslo
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UiO/Anders Lien 15th July 2025 Languages English English English Postdoctoral Research Fellow in Experimental Nuclear Physics Apply for this job See advertisement About the position Position as
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Nuclear Physics Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow in Experimental Nuclear Physics is available at the Department of Physics. Starting date
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research communities make UiO an important contributor to society. Njord is a cross-disciplinary Geology-Physics center hosted by the Faculty of Mathematics and Natural Sciences at the University of Oslo. We
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academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational research
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important
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rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant
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Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant