ESR12 – Models of evolution in network-structured populations
ESR12: Models of evolution in network-structured populations Recruiting beneficiary: University of Liverpool, United Kingdom
ESR12: Models of evolution in network-structured populations Recruiting beneficiary: University of Liverpool, United Kingdom
ESR11: Data-driven support to understanding of complex dynamical physical phenomena, such as epidemics Recruiting beneficiary:
ESR10: Evolutionary therapy in ovarian cancer Recruiting beneficiary: Barts Cancer Institute, Queen Mary University London,
ESR9: Impact of different resistance mechanisms on the outcomes of cancer treatment game Recruiting beneficiary:
ESR8: Theory of Stackelberg evolutionary games for cancer treatment Recruiting beneficiary: Delft University of Technology,
ESR7: Information theoretic aspects of modularity, self-similarity, and stability in multiplayer games on adaptive networks
ESR6: The evolution of cooperation in populations involving multi-player games and time delays Recruiting beneficiary:
ESR5: Critical Transitions in Evolutionary Games Recruiting beneficiary: University College Cork, Ireland Internal supervisors:
ESR4: Criticality and self-organization of evolutionary game Recruiting beneficiary: Delft University of Technology, The Netherlands
ESR3: The evolution of cooperation in structured populations involving multi-level selection Recruiting beneficairy: Centre for
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the
Marie Skłodowska-Curie grant agreement number 955708.