60 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
-
future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations
-
) Application Deadline 22 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? Horizon Europe - ERC Is the Job
-
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
-
Recognised Researcher (R2) Application Deadline 28 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
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you motivated to develop next-generation electrodes for electrosynthesis
-
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 Keen to push the frontiers of multiphase
-
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 Infrastructure? No Offer Description Keen
-
Join us at the Division of Astronomy and Plasma Physics, Department of Space, Earth and Environment, and help advance our understanding of galaxy evolution and supermassive black hole growth. Do you
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification