Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Linköping University
- Lulea University of Technology
- University of Lund
- Luleå tekniska universitet
- Lunds universitet
- SciLifeLab
- Uppsala universitet
- Örebro University
- Blekinge Institute of Technology
- Högskolan Väst
- IFM/Linköping University
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- Luleå University of Technology
- Luleå university of technology
- Umeå University
- Umeå universitet
- Umeå universitet stipendiemodul
- 11 more »
- « less
-
Field
-
/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program
-
: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
-
, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
-
the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics modeling software Programming in Matlab
-
relevant medical science. Strong skills in data management and the ability to work with large datasets. Strong statistical analysis skills. Strong programming skills in a relevant statistical software
-
to its future development. The applicant shall be well familiar with modelling techniques and software in multiphysics and/or battery modelling (Ansys, Comsol, PyBaMM or similar). The applicant should be
-
collection, data processing, solving & refining crystal structures using standard software. The work may require travel to institutes including ILL in France, DESY in Hamburg, and other centres as needed
-
of Complex Networks, is funded by WASP, the Wallenberg AI, Autonomous Systems, and Software Program. Here, we use systems and graph theoretical tools to describe dynamic behaviors of large-scale interconnected
-
language, such as Java Experience in data integration of gene data sets Familiarity with tools for workflows and software development such as GitHub What do we offer? A creative and inspiring environment