26 post-doc-complex-systems Postdoctoral positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Technology (WACQT). WACQT is a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum
-
experimental collaborators using different X-ray spectroscopy techniques. About the research project Aviation will in the foreseeable future require liquid fuels. There is currently a strong need to improve and
-
, entrepreneurial success, and sustainable growth. Project overview The position is not tied to any specific project or theme. Instead, we are offering a strong and ambitious candidate great flexibility in shaping
-
hydrometallurgical purification steps, and preparing recycled precursors for new battery materials. The position offers an opportunity to contribute to a field of growing relevance within sustainable energy systems
-
Hydrogen is expected to play a key role in the energy and fuel mix of future sustainable transport systems. However, due to its small and light molecular structure, hydrogen exhibits significantly
-
biomass characterization, biomaterial characterization and application. Experience in glycomic analysis is highly recommended. Laboratory experience in biomass transformation in materials and water based
-
We are looking for a postdoctoral researcher to contribute to the development of next-generation battery management systems (BMS). The position is hosted by the Automatic Control group
-
future. The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden
-
. MC2 houses a cleanroom for micro- and nanofabrication with the latest equipments. Our work is often done in close collaboration with Swedish and international partners within academia, industry and
-
The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare