128 web-programmer-developer "https:" "https:" "https:" "https:" "https:" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
and Plasma Physics (AoP), we investigate the origins and evolution of the Universe – from star and planet formation to galaxy dynamics and the physics of fusion plasmas. Through international
-
of nanotechnology and medicine - developing sensors for non-invasive disease diagnostics and health monitoring in breath. About us The position is based at the Department of Life Sciences at Chalmers University
-
experimental groups. The project integrates theoretical chemistry, electrochemistry, and surface science, contributing to the development of advanced battery technologies while supporting your growth as an
-
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
-
Are you passionate about developing next-generation battery materials? Do you want to be part of a leading research environment that bridges fundamental science and industrial applications
-
Join us for an exciting and excellent Doctoral student journey to create the future of solar-energy materials! Explore the physics of polarons and help develop next-generation semiconductors
-
work in a strong theory–experiment environment, enabled by our close collaboration with the Wallenberg Centre for Quantum Technology (WACQT) and its experimental teams developing superconducting
-
Join us to develop physics-guided, data-driven foundation models for multivariate time-series in safety-critical systems, with a primary focus on automotive applications. You will design predictive