Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
group and Responsible Artificial Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research
-
, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
-
experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
-
18 Jan 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
-
Researcher (R1) Application Deadline 24 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 by a EU
-
in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. The research group Digital Physics (www.digitalphysics.se ) develops methods for physical
-
Recognised Researcher (R2) Application Deadline 11 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
-
employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
-
Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models