Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
creative, collaborative, and equitable work environment. Our strength lies in utilising and combining experimental, digital, and qualitative approaches to develop solutions and processes. The division
-
Deadline 15 Oct 2025 - 12:00 (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 the Job related to staff
-
We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
-
Join a team at Chalmers University of Technology with an extensive national and international network in the field of metal additive manufacturing. You will have unique opportunities to develop
-
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
-
on flexible microsystems that can be implanted in the body, for example as part of nerve-controlled bionic limbs or for direct coupling to signals in the brain. We develop nano- and microfabrication methods
-
knowledge and their vision of technical solutions for the future industry in a sustainable society. Through excellent research, innovation, and education, we contribute to the development of future industrial
-
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
-
development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations, results and breakthroughs. We offer a vibrant
-
/Autonomous Mobile Robots). Specifically, the project will develop knowledge to support planning, implementation, operational management, and adaptations of AGV/AMR systems. The research focuses