153 professor-computer "https:" "https:" "https:" "https:" "https:" "Brunel University London" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
7 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science Physics
-
24 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Engineering » Mechanical engineering Engineering » Other Physics
-
PhD program. This is the eleventh in a yearly recurring call. These positions are special in the sense that most PhD student positions at Chalmers are announced by a specific research group, funded by a
-
cases, this can be slightly prolonged). The position will be placed at Timur Shegai's research group at Chalmers. You can find more information about the group at: www.shegai-lab.com or https
-
welcome your application no later than April 24, 2026 For questions please contact: Uta Hejral Assistant Professor Email: uta.hejral@chalmers.se We look forward to your application! *** Chalmers declines
-
Recognised Researcher (R2) Country Sweden Application Deadline 6 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
-
Evenäs Professor lars.evenas@chalmers.se / +46(031) 772 2973 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in
-
of Microtechnology and Nanoscience. Join our innovative theory team and contribute to exciting research in scaling up quantum computers and other quantum technologies in a collaborative and dynamic environment. About
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration