53 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Swedish University of Agricultural Sciences in Sweden
Sort by
Refine Your Search
-
that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
-
both Swedish and English. If Swedish is not your native language, SLU offers language courses to give you, as an employee, a good opportunity to learn Swedish. Great importance will be attached
-
ecology and in ecosystem-based management. As a person, you are responsible and good at communicating. You enjoy working in a group and demonstrate capacity for learning new things, working systematically
-
is to advance the understanding 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
-
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 to work at SLU at https://www.slu.se/en/about
-
) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
-
The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
-
programmes leading to degrees in agronomy and biology. 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/ Perennial cropping systems Research
-
will work at the Department of Molecular Sciences, SLU and collaborate with the interdisciplinary research center PAN Sweden, https://www.oru.se/strategiska-satsningar/mat-och-halsa/pan-sweden.The
-
about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for environmental monitoring Mathematical statistics Description