Sort by
Refine Your Search
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- Mälardalen University
- Nature Careers
- Blekinge Institute of Technology
- Linnaeus University
- University of Lund
- 2 more »
- « less
-
Field
-
Health Research and Policy-Work on Post-Covid-19 Syndrome ’ . Specifically, you will be working in the subproject ‘A Novel Model for Policy-Work’. One of the aims of this subproject is to examine what is
-
cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
-
. The project involves close collaboration with other researchers in the group, as well as cooperation with leading scientists in virology, structural biology, and biochemistry. This project is part of a larger
-
introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
-
biodiversity credits: Advancing societal goals across managed Swedish forests Research subject: Applied Economics Description: Forests support humanity when they provide critical biodiversity habitat, contribute
-
or technical writing. Meritorious qualifications: Understanding of urban planning in relation to climate adaptation and traffic management. Experience with advanced hydrological modelling software at catchment
-
Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
-
methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
-
access to advanced infrastructure for experimental and theoretical studies. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department
-
on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both