Sort by
Refine Your Search
-
Listed
-
Employer
- Uppsala universitet
- Chalmers University of Technology
- Linköping University
- Umeå University
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Gothenburg
- Lunds universitet
- Malmö universitet
- SciLifeLab
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Linkopings universitet
- Linnaeus University
- Nature Careers
- Stockholm University
- The University of Gothenburg
- University of Lund
- 9 more »
- « less
-
Field
-
. For questions regarding the position, contact lars-anders.carlson@umu.se . More about us You can find more information about working at Umeå University here and more about the department here .
-
. Discover more Find more general information about doctoral studies at Chalmers here . How to apply The application should be written in English be attached as PDF-files, as below. Maximum size for each file
-
-786 54 31. For questions regarding the position contact lars-anders.carlson@umu.se More about us You can find more information about working at Umeå University here and more about the department here
-
to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . How to apply The application should be written in English be attached as PDF-files, as below
-
-planning of timber production and nature conservation, two important objectives in forestry. The work involves developing knowledge and tools for habitat modelling through 1) mapping existing habitats, 2
-
to departmental duties, including teaching and lab assistance. Discover more Find more general information about doctoral studies at Chalmers here . About the research environment The Division of Electric Power
-
gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence . Discover more Find more general information about doctoral studies at Chalmers
-
combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
-
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
-
that enhance the quality and efficiency of forest management planning. The PhD student will combine remote sensing with machine learning to detect cultural remains, predict terrain accessibility, identify