34 image-processing-postdoc PhD positions at Chalmers University of Technology in sweden
-
development (using both traditional signal processing and machine learning), antenna design, and system hardware development. We collaborate closely with clinical experts to develop innovative technologies
-
engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
-
polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
-
We are offering an exciting opportunity for a motivated, independent, and curious PhD student. Are you interested in the biological processes within wastewater infrastructure? Do you enjoy both
-
. The research focuses on the development of the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both
-
Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
-
at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
-
trials with prototype vehicles and human drivers. The position will include some travel to project partners and test tracks. Who we are looking for: To qualify as a PhD student, you must have a Master's
-
for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
-
senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology