-
cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
-
-affective processes, and contemporary approaches to modelling symptom network dynamics. A central objective of the project is to identify dynamic indicators of reduced resilience and maladaptive stress
-
to achieving net-zero emissions and keeping our planet within its safe operating space. Yet, these transitions are deeply shaped by social dynamics, by how people cooperate, organize, and sometimes resist change
-
. The researcher will contribute to the HySUCCESS project (https://groenvermogennl.org/project/hysuccess/ ), part of the national GroenvermogenNL initiative supporting the development of a sustainable hydrogen