Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Jönköping University
- Nature Careers
- Linnaeus University
- Mälardalen University
- University of Lund
- Mid Sweden University
- Uppsala University
- 3 more »
- « less
-
Field
-
AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
-
at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
-
level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
-
application! We are looking for a PhD student in Scientific Visualization in the scientific visualization group at the division of media and information technologies based at the Department of Science and
-
Ability to connect, network and partner with external organizations Other characteristics valued at JIBS are an international outlook; teaching and/or professional experience; and an ability to communicate
-
environment The Müller Research Group at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology works at the intersection of physical chemistry and materials science, with a
-
might be the one for you. In this PhD position, you will explore occupational traffic safety with a focus on employees with driving duties outside professional driving roles. The research examines how
-
- and wet-lab methods. We combine cutting-edge basic science with strong ties to the clinic and aim to directly influence future clinical practice. The doctoral student project and the duties
-
modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
-
year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS