Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
knowledge on multi-actor collaboration, networking and bridging, the applicant will conduct ecosystemic analysis and initiate interventions, measure synthesis, dead-ends and resistance and, in comparison with
-
model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
-
model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
-
institution when it comes to creating new basic knowledge as well as contributing to solving the world’s challenges within biology, chemistry, biotechnology, bioengineering, environmental science, and chemical
-
will focus on interventions, including the synthesis of existing knowledge and the evaluation of interventions. In addition, the postdoctoral researcher will have teaching responsibilities in the newly
-
programming skills in Python are essential, along with the ability to design experiments, analyze results, and interpret findings. Knowledge of optimization techniques, statistical modeling, and data management
-
analysis, surveys, or other data-driven approaches strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies, or cognitive
-
protocol on certain terms of employment of academic staff at universities (only in Danish). Aalborg University - Knowledge for the world Aalborg University is an international workplace with more than 3,700
-
. Remote maintenance is a safety-critical application, so knowledge within this domain is an advantage. As a postdoctoral researcher, your role will encompass mainly research, but teaching responsibilities
-
SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them