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of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems. Project
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, focuses on sustainability in energy and chemical process systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the systems scale. In our work, we
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on these measurements, within the scope of this postdoc we will develop an optimised modelling framework using a combination of machine learning and data-driven approaches as well as existing biogeochemical models
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to develop a land surface modelling framework that can provide such information and fulfills the needs of a very diverse user community, ranging from numerical weather forecasts to agricultural decision-making
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simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs. Fluid injection or production induces changes in
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100%, Zurich, fixed-term The professorship for history and philosophy of mathematical sciences , led by Prof. Roy Wagner, is a place for reflecting on all aspects of mathematical knowledge from
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optimization sub-group of the Reliability and Risk Engineering Lab. To this aim, the successful candidate will: Advance mathematical optimization methods to further our understanding of future energy systems
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the optimized models for suggesting new experiments to identify digital biomarkers that can be used to classify disease models Profile You are a team-player You have a bachelor in physics, mathematics
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machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In
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100%, Zurich, fixed-term This project aims at developing a parsimonious and accurate dynamic model of train motion, with values calibrated from real life measurement of different sensor types