58 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" uni jobs at Chalmers University of Technology in Sweden
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Stage Researcher (R1) Country 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
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Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us to pursue
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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) Country Sweden Application Deadline 8 Mar 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
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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 Do you want to dive into modern differential geometry and computational
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credits or a Master’s degree (magisterexamen) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent Excellent written and verbal communication skills in English Ability to program in high
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of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value Chain ” and includes multidisciplinary collaborations where research visits
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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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Join the Computing Disease Evolution in Cancer (CODEc) group, led by Dr Eszter Lakatos within the Division of Applied Mathematics and Statistics and persue exciting research. As a Doctoral student