124 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to the application deadline What you will do In this poisition, you will be central to the development of the project, and also responsible for the implementation, validation and data analysis of the numerical tools
-
research on the unique chemical and physical phenomena that prevail at very small dimensions, and promote the development of technologies that utilise these phenomena.The announced PhD positions can be
-
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
-
Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project This project focuses on the development of quantum–classical
-
Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration with the project’s Principal Investigator, and practical implementation of this research with
-
international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
-
. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc
-
collaboration meet. The research topics in the department span fundamental and applied research to contribute to the development of a sustainable society. We are Sweden's largest mathematical department, with
-
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
-
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