Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in
-
We are looking for a postdoctoral researcher to work on prediction of local animal-plant networks. About the position A postdoctoral researcher position is available in Mariana Braga's group at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving...
-
research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
-
Postdoctoral Position: Analytical chemistry of human breath for diagnosis of blood groups and disease-causing pathogens We seek a motivated postdoctoral researcher for a new project on breath-based diagnostic tools for blood groups and disease-causing pathogens, and how disease-vectoring...
-
(LCA)—as well as statistics, mathematics, biological waste treatment, source-separated sanitation, and the digitalisation of agriculture. The department is responsible for more than 30 undergraduate and
-
. The postdoc will develop mathematical models based on biophysical processes, in combination with available data. The postdoc will also contribute to a literature synthesis on ecosystem services in agrivoltaic
-
competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read
-
sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
-
of mathematical modeling and data analysis. Experience of programming languages and tools commonly used in biophysical or agricultural modeling (e.g., Python and R). Familiarity with food system resilience