Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- KTH Royal Institute of Technology
- Linköping University
- Umeå University
- Chalmers tekniska högskola
- Lunds universitet
- Umeå universitet stipendiemodul
- University of Lund
- Linnaeus University
- Lulea University of Technology
- Jönköping University
- Mälardalen University
- University of Gothenburg
- Chalmers te
- Linneuniversitetet
- Luleå University of Technology
- Lund University
- Mälardalens universitet
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 13 more »
- « less
-
Field
-
Statistics is offering a postdoctoral scholarship within the project “Phase transition in aggregation processes and network models”. The scholarship is full time for two years with starting date 1 January
-
MEuro) with nearly 40 industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation
-
industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation of hybrid-electric aero-engine
-
University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
-
aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
-
explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment, collaborating with leading experts in AI, mathematics
-
medicine, with a particular focus on spinal cord and peripheral nerve injuries. The projects involve work on various aspects of nerve regeneration and tissue engineering using both in vitro and in vivo model
-
. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
-
focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
-
treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579