52 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Chalmers University of Technology in Sweden
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join one of Sweden’s leading mathematics departments! The Department
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job funded through 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 Join us at the Hybrid
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) 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 related to staff position within a Research
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wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job
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Is the job funded through 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 Join the
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at Chalmers University of Technology might be for you! About us This doctoral student position is placed at the Division of Computational Mechanics and Materials Engineering, which belongs to the Department
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) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. Strong background in computational
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We are looking for a Doctoral student to become part of our team at the Division of Data Science and AI at the Department of Computer Science and Engineering . Join our innovative team and
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First Stage Researcher (R1) Country Sweden Application Deadline 15 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational