39 parallel-computing-numerical-methods Postdoctoral positions at Chalmers University of Technology in Sweden
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requirements despite manufacturing variation. The Chalmers Geometry Assurance & Robust Design Group develops integrated methods and tools that connect design, manufacturing, and metrology for robust, high
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of learning with digital teaching materials Expertise in quantitative methods and learning analytics for processing and analysing data generated by users of the learning resource worldwide. What you will do
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; Analytic torsion or local–global comparisons in intersection theory; Interactions between non-Archimedean, complex analytic, and geometric methods. The project is deliberately flexible and can be shaped by
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met no later than the time the employment decision is made Strong written and verbal communication skills in English Experience in hydrometallurgy, chemistry and analytical methods. You are expected
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, advanced electrolyte systems, and strategies for stabilizing metal anodes. We have a strong track record in developing innovative methods and extending characterization techniques to new applications and
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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Department of Computer Science and Engineering—a joint department of Chalmers University of Technology and the University of Gothenburg with 300+ employees and a strong international profile. About the
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 15 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology