Sort by
Refine Your Search
-
in Conservation Science is a two-year program designed to provide recent PhDs with experience in chemistry and other physical or material sciences with experience in conservation science. The 2026-2028
-
, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
-
microgrids. • Develop advanced computational simulation models, ranging from the simulation of complex and representative use cases to the detailed modeling of components such as power cables, power converters
-
data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
-
, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
-
Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget