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UiO/Anders Lien 31st October 2025 Languages English English English Postdoctoral Research Fellow in Mathematics Apply for this job See advertisement About the position Applications are invited for a
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Mathematics Apply for this job See advertisement About the position Applications are invited for a three-year Postdoctoral Research Fellowship in Mathematics at the Department of Mathematics, University of Oslo
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are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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School . Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading
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Anomaly Detection Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science invites applications for a postdoctoral
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Apply for this job See advertisement About the position One or two PhD Research Fellow positions are available at the Department of Mathematics in the research group of Prof. Andreas Carlson
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the most relevant information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust
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of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and