Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Linköping University
- Lunds universitet
- Nature Careers
- Umeå University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- SciLifeLab
- University of Lund
- Linnaeus University
- Jönköping University
- Sveriges lantbruksuniversitet
- Karlstad University
- Umeå universitet
- Örebro University
- Blekinge Institute of Technology
- Karlstads universitet
- Linköpings universitet
- Mälardalen University
- University of Gothenburg
- University of Skövde
- 14 more »
- « less
-
Field
-
improve predictive modelling for CVD. We pay particular attention to methods driven by generative diffusion models, physics-informed neural networks, and probabilistic numerics. As postdoc, you will
-
28 Feb 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala universitet, Research Field Physics Researcher Profile Recognised Researcher (R2) Country Sweden Application
-
14 Mar 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, Lunds universitet, Naturvetenskapliga fakulteten Research Field Physics Researcher Profile Recognised
-
8 Feb 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Engineering, LTH, Department of Physics Research Field Physics » Other Researcher Profile
-
9 Mar 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Materials Science and Engineering Research Field Engineering Physics Researcher
-
15 Feb 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, LTH, Fysiska institutionen Research Field Physics » Other Researcher Profile Recognised Researcher
-
The Division of Synchrotron Radiation Research (www.sljus.lu.se ), with more than 50 PhD students and researchers, is part of the Department of Physics. Its research covers experimental studies
-
are traditionally difficult to obtain through conventional methods. Information about the research group The Langhammer group at the Chemical Physics Divison at the Department of Physics operates at the interface
-
to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
-
freedom to develop related research questions in collaboration with the research team. A detailed research plan will be co-developed together during the recruitment process. You will join a vibrant