Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ; Swansea University
- Technical University of Denmark
- ;
- Erasmus University Rotterdam
- University of Bergen
- Wageningen University and Research Center
- ; The University of Manchester
- AIT Austrian Institute of Technology
- Abertay University
- CWI
- Cranfield University
- Curtin University
- DAAD
- Delft University of Technology
- Flinders University
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Hannover Medical School •
- KNAW
- Leiden University
- Max Planck Institute for Sustainable Materials •
- Monash University
- Roma Tre University
- Swinburne University of Technology
- The University of Chicago
- The University of Iowa
- University of Luxembourg
- University of Southern Denmark
- University of Twente (UT); Enschede
- Utrecht University
- Vrije Universiteit Brussel
- 21 more »
- « less
-
Field
-
to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
-
to understand these dynamics. This project proposes a novel pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses
-
Project The PhD project DC7 aims to develop and apply a coupled Agent-Based Model (ABM) and couple it to the Regional Flood Model (RFM) to evaluate the effect of adaptive behaviour of small and medium-sized
-
will be to: identify policy mechanisms that can change infrastructure affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal
-
combine engineering design principles with stake-holder engagement tools to support decision-making under uncertainty. Using methods like agent-based modelling, quantitative resilience and risk analysis
-
Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
-
for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
-
, specifically modelling the complex interrelations among infrastructure, human operators, and organizational structures using dynamic graphs, system dynamics, Agent Based Models, and discrete event simulations