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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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dedicated experiments (e.g., flares vs. chaff). Providing observational constraints on turbulence and thermal effects to improve the representation of microphysical processes in model simulations
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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candidate will engage in cutting-edge research in applied environmental microbiology. The research will focus on Microbial Ecology in the Anaerobic Digestion process. The candidate will work as part of
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory develops methods and tools to model, design and assess energy systems at various scales with a focus on energy hubs
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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
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complex and interconnected infrastructure systems are, is required if actions are to be taken to improve their resilience. This in turn requires the ability to model these complex systems and how they will
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on different topics related to wound healing. Project background Wound healing is a complex process in which a cascade of physiological events takes place to restore injured skin to its full functionality
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is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
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, and energy sciences, this project aims to advance the knowledge of how Earth's shallow fluid systems change over time and space. Being able to closely observe and monitor these processes is pivotal in