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complex: interventions last for decades, have widespread impacts, require considerable investment, and must remain functional under highly uncertain future conditions. High-resolution agent-based models
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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. The platform blends large language and vision models with symbolic math and statistical tools and agent-based human-in-the-loop workflow management to drive: course-specific chatbots, automatic practice-problem
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before the start date) in a relevant field Brings expertise in at least one of the following areas: environmental governance, data governance, technology policy, simulation-based modeling (e.g., agent
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using laser-induced bubble generation to achieve precise, controlled BBB opening (BBBO) for targeted drug delivery. Our key objective is to develop a non-invasive, laser-based technique that safely and
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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-based models (e.g MATSim) Workplace Workplace We offer ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural Network Architectures based
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| Inspire AG PHD Position in Planning Transport Systems under Uncertain Futures through Agent-Based Simulations and Reinforcement learning 100%, Zurich, fixed-term 14.07.2025