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expertise? Through an Impact Collaboration Programme (ICP) project, you can develop creative ways to work together to ensure that the best available knowledge supports the design of solutions to the complex
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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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DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
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multiphysics simulation Develop multimodal decoupling algorithms Scalable O-skin fabrication and system integration onto robots and as wearables Realtime sensory mapping in complex environments Supervise master
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health