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outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas
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May 2025 Apply now In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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. Validation of new types of markets (both those designed above and others) through principled multi-agent simulations, complex systems analysis or other data-driven simulation methods. Fundamental AI techniques
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, cardiovascular diseases remain a major contributor to mortality and the leading cause of death worldwide. Current strategies are aimed at adding novel therapeutic agents on top of the standard therapeutic moieties
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Job related to staff position within a Research Infrastructure? No Offer Description The PhD will develop models (using AI and agent-based modeling) that identify policies for positive interactions
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or Python and has strong skills in mathematical modeling and simulation. Familiar with the challenges and dynamics of healthcare systems and/or has knowledge of simulation techniques including Agent-Based
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and/or conversational agents. Willingness and experience to perform quantitative and qualitative user research, e.g., user studies or interviews. Ability to work independently as part of a