28 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Chalmers University of Technology
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learning; convex analysis; functional analysis; mathematical statistics; numerical analysis; programming; optimization; stochastic analysis; systems theory. What you will do You are expected to develop your
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Profile Recognised Researcher (R2) Application Deadline 20 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Recognised Researcher (R2) Application Deadline 8 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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. Demonstrated experience with relevant observational techniques, programming, and/or numerical modelling tools or related areas. Both team working skills as well as the ability to work independently. What you
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to exciting research in
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated Postdoctoral
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Sweden Application Deadline 23 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Recognised Researcher (R2) Country Sweden Application Deadline 9 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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*. You will need strong written and verbal communication skills in English Experience with graphene functionalization Ability to work as a part of an interdisciplinary team Ability to plan and execute
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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