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with additional biophysical features Apply the framework to morphogenetic problems based on imaging data Run large-scale simulations on ETH Zurich’s high-performance computing (HPC) infrastructure
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capabilities of the existing C++ codebase Applying the framework to morphogenetic problems using real imaging data Conducting large-scale simulations on ETH's HPC infrastructure Performing model calibration
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large language models. Project background Language is a skill unique to humans among other animals. However, little is known about the neurophysiological processes that enable the construction of complex
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to engineer human cells and develop advanced gene and cell therapies targeting cancer, as well as metabolic, neurodegenerative, autoimmune and infectious diseases. For more information, please consult our
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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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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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, unbefristet 21.08.2025 | Partnerships for Innovation Scientific Assistant in Energy Grid Data 100%, Zurich, fixed-term 20.08.2025 | Power Systems