Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Jönköping University
- Linköping University
- Linnaeus University
- Lunds universitet
- Mälardalen University
- Nature Careers
- Sveriges lantbruksuniversitet
- Umeå University
- University of Lund
- 3 more »
- « less
-
Field
-
is usually detected too late and lacks effective treatment. Our strategy combines clinical patient material and advanced protein research to develop new biomarkers for earlier diagnosis and treatment
-
species like birds and bats. Combining PAM with occupancy modeling allows for large-scale ecological studies, assessing both individual species and community responses to environmental changes. In this 4
-
in bioacoustic technology, such as passive acoustic monitoring (PAM), now enable efficient study of vocalizing species like birds and bats. Combining PAM with occupancy modeling allows for large-scale
-
with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
-
pancreatic cancer, one of the most aggressive forms of human tumors. Pancreatic cancer is usually detected too late and lacks effective treatment. Our strategy combines clinical patient material and advanced
-
for prevention. Today’s clinical practice often relies on subjective assessments and observations. However, advanced commercial sensor technologies combined with artificial intelligence offer new opportunities
-
format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
-
https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. Research focus The project combines rigorous theoretical research
-
transformations of industrial importance. The PhD candidate will become a member of an enthusiastic interdisciplinary research team, which combines experimental and computational tools in the development of novel
-
. You enjoy combining experimental laboratory work with theoretical analysis and modelling. While your main focus will be the research project and your own development as a researcher, the position also