Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Sveriges Lantbruksuniversitet
- Karolinska Institutet, doctoral positions
- Linköping University
- Umeå University
- Lulea University of Technology
- Lunds universitet
- Umeå universitet
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Linneuniversitetet
- Luleå University of Technology
- Luleå University of Tehnology
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Science
- Swedish University of Agricultural Sciences (SLU)
- University of Gothenburg
- University of Lund
- 15 more »
- « less
-
Field
-
in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term
-
applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
-
of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
-
of farm animals and to develop the genomic breeding methods of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new
-
the modeling and simulations. The duties may also include (e.g.) teaching, supervision of degree projects, collaboration with other University partners, administration linked to the tasks above Requirements To
-
, better adapted individuals can be selected at the seedling stage using only genetic data, accelerating the breeding cycle. Incorporating information about plasticity can aid genomic prediction modeling
-
about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
-
, bioinformatics, and ecological modeling. Results will inform future biodiversity monitoring frameworks, adaptive forest management, and conservation policy. At the Department of Wildlife, Fish and Environmental
-
of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote sensing data includes airborne and
-
help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will