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, combining the best of two academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics we conduct research in computational mathematics, optimisation, biomathematics
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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods
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Mathematics » Applied mathematics Physics » Other Technology » Transport technology Researcher Profile Recognised Researcher (R2) Application Deadline 5 May 2026 - 21:59 (UTC) Country Sweden Type of Contract
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variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
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postdoctoral position at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences. About us The Department of Mathematical Sciences is a joint department of the University
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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modeling of structural variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data
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» Applied mathematics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the
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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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"Economics and Statistics" (E&S). E&S is a dynamic environment for research in economics and statistics, with links to computer science. The environment consists of approximately 35 researchers. Research