Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Lunds universitet
- University of Lund
- Karlstad University
- Karolinska Institutet (KI)
- Mälardalen University
- The Swedish University of Agricultural Sciences
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- The Royal Institute of Technology (KTH)
- University of Skövde
- Uppsala University
- 10 more »
- « less
-
Field
-
nitrocellulose (NC). I projektet analyserar vi nitreringsprocessen och delprocesserna för att återvinna och återanvända syror, tvättvatten och lösningsmedel In the project we analyse the nitration process and sub
-
learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
-
battery degradation is governed by complex and coupled physical processes and is strongly affected by operating and environmental conditions. However, the internal health of batteries remains difficult
-
Position Description Postdoctoral position in experimental particle physics with the ATLAS experiment Please use this page only to upload reference letters! To apply for the job, you MUST apply via
-
Position Description Description of Job: As a Postdoc fellow, you will have the chance to conduct cutting-edge research in materials physics, taking advantage of state-of-the-art tools that will
-
23 Sep 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Physics, Department of Physics and
-
Do you want to contribute to cutting-edge research in nanoscale optical manipulation and sensing? Join us at the Division of Nano- and Biophysics, at The Department of Physics and Astronomy, and
-
at the Division of Chemical Engineering. The dairy group conducts research and education in dairy technology and dairy processes, with a focus on milk quality and how raw material and process conditions affect the
-
operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
-
partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural