30 computational-linear-algebra Postdoctoral positions at Chalmers University of Technology in Sweden
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We are looking for a postdoc in arithmetic and algebraic geometry, with a focus on invariants that capture geometric and arithmetic complexity. Topics may include Arakelov geometry, birational and
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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contribute to grant applications, establishing a great foundation for the next step in your academic career. About us The Department of Computer Science and Engineering at Chalmers and University
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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frameworks established around the transition labs within the national innovation program of Shift Sweden. About us The transition labs in Lindholmen and Kronoberg address how concrete design and transformation
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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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Experience from relevant industries Experience in computer based engineering and/or model based systems engineering tools What you will do Participate as researcher in systems engineering design projects Plan
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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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society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products. We use advanced computational technologies to discover