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description Develop machine learning pipelines for time series processing with a focus on event detection and real-time interaction. Investigate distribution shifts in physiological data and apply continual
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Development Goals (SDGs), with a focus on SDGs 6 (Clean Water and Sanitation), 11 (Sustainable Cities and Communities), and 12 (Responsible Consumption and Production). Project background Through The Malawi
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excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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biomedical applications. We also develop experimental techniques to observe and characterise high-speed multiphase fluid phenomena optically and acoustically. The group is part of the Institute of Fluid
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of this project are (1) to improve monitoring efforts by developing widely accessible analytical approaches to quantify chloronitramide and (2) to investigate the impact of common water quality parameters
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to develop solutions for the global challenges of today and tomorrow.
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) Software Engineer - LISA Space Mission 100%, Zurich, fixed-term 07.11.2025 | ETH Zurich | Space / Gravitational Physics Research Group, ETH Zurich Labortechniker:in Felslabor
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions