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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 21st May 2024 Languages English English English Postdoctoral Fellow on inclusive mathematics education in
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The Faculty 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
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Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within
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) Qualification requirements 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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: The Faculty 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
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preferably 01.09.2024, but no later than 31.12.2024. The fellowship period is 3 years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research
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the course of the period of employment. Qualification requirements: The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and
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Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within
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The Faculty 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
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Convergence Environment AUTORHYTHM. The candidate will develop new machine learning methods with a focus on metrics and quantification of uncertainty in combination with interpretable and explainable AI