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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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ideas and immerse yourself in innovative research fields, including: Traffic optimization using multi-agent Reinforcement Learning and hierarchical Reinforcement Learning Reinforcement Learning-based
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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. They work together to enhance our understanding of intelligence, cognition in autonomous agents, and teams of agents in the context of mediatised worlds. The insights are then transferred into a new