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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational models defining the molecular signatures underpinning
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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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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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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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Your Tasks: Develop AI-based optimization methods to enhance industrial manufacturing processes Design and implement cutting-edge machine learning models for process parameter selection Reduce
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experience in statistical analysis and implementing machine and deep learning models using Keras/TensorFlow and/or PyTorch. You have experience in collaborative coding, version control, and utilizing computer
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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efficiency and quality control in casting processes. Job description We are looking for a highly motivated researcher to join our team and contribute to projects at the intersection of computational modeling
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for blockchain-based systems. Develop mathematical and computational models for simulating and analysing various economic properties of blockchain-based systems. Design and evaluate token economies and governance