Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Lulea University of Technology
- Uppsala universitet
- Lunds universitet
- Stockholms universitet
- Chalmers University of Technology
- Sveriges Lantbruksuniversitet
- University of Lund
- Karolinska Institutet, doctoral positions
- Umeå universitet
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- Nature Careers
- University of Borås
- Karlstads universitet
- Luleå University of Technology
- Mälardalen University
- SciLifeLab
- Institutionen för akvatiska resurser
- Jönköping University
- KTH Royal Institute of Technology
- LInköpings universitet
- Lule university of technology
- Luleå
- Stockholm University
- Swedish University of Agricultural Science
- 19 more »
- « less
-
Field
-
of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like
-
program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se
-
. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use of forests
-
equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
-
field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
-
of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
-
more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Genetic variation and genomic prediction in farm animals Research subject Animal Science
-
of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
-
or Python) and an in-depth understanding of computer systems (assembly code, compilers). Important personal qualities are the ability to work in a team, communicate with colleagues, be disciplined, curious
-
for seeking the position. Extensive experience with Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Experience with