Sort by
Refine Your Search
-
PhD in Interorganisational Knowledge Exchange in Multistakeholder Consortia Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application
-
, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore many ways maps can be
-
-analytical workflows, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore
-
-term visual, hearing, or cognitive disabilities and diversities, often facing barriers to participation, equity and inclusion. The European Accessibility Act (EAA), which mandates that EU service
-
observed data; basic knowledge of environmental processes; excellent writing and communication skills; Our offer We offer: the opportunity to work in and with a team of leading experts; a position for 4
-
knowledge through your experiments and analyses, hone your critical thinking skills and develop into an independent scientist. You will carefully document your findings and share them with others, for example
-
mathematics, meteorology, geosciences or a related field; experience in climate modeling (considered an advantage); basic knowledge of (geophysical) fluid dynamics (considered an advantage); excellent skills in
-
societal relevant research. That is what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make
-
. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
-
problem from various angles and disciplines basic knowledge of (geophysical) fluid dynamics; good writing and communication skills (English); experience with climate modelling or complexity science