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postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical models for large-scale shape
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being part of these two networks. Subject description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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22 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Applied mathematics Mathematics » Computational mathematics Researcher Profile
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FAccT, KDD, SIGGRAPH, ACM Multimedia) Strong written and verbal communication skills in English Strong background in mathematical modelling and analysis Proficiency in software implementation
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or an equivalent foreign degree in Mechanical Eng., Naval/Maritime Eng., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility
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that shape our understanding of the world, from abstract structures to concrete models of reality. Mathematics and statistics are essential across natural sciences, technology, social sciences, economics, and
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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-based methods are particularly well-suited to bridging the molecular and experimental scales and will be central to this effort. The research will be performed in the Theory and Modelling group (https
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experimental development/measurement and theoretical modelling/investigation. Therefore, it requires the candidate to have a solid background in electronics, physics, and mathematics, as well as strong practical
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of affiliated PhD-students, postdocs and more senior researchers from diverse disciplines, with a close collaboration between primarily medical radiation physics and diagnostic radiology. LUCI has many national