Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Nature Careers
- University of Lund
- Linköping University
- Lunds universitet
- Chalmers tekniska högskola
- Umeå University
- Umeå universitet stipendiemodul
- Jönköping University
- Linnaeus University
- Lulea University of Technology
- University of Gothenburg
- Chalmers te
- Linneuniversitetet
- Luleå University of Technology
- Lund University
- Mälardalen University
- Mälardalens universitet
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 13 more »
- « less
-
Field
-
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
-
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 state
-
process involve developing models for the components of both axial and radial turbomachines. A strong background in aerodynamic methods and tools of turbomachinery design is therefore required, which in
-
with model crops, but also agriculturally relevant plant species including cereals, rapeseed, sunflower Experience with assessing plant productiviy Knowledge of applied plant biology and/or breeding
-
. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant
-
modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
-
be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
-
to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
-
deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models