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highly motivated Postdoc to develop a streamlined, digitally-supported LCA procedure. TSL is dedicated to creating and transferring knowledge supporting the transformation to a sustainable society within
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studies. The fellowships will allow outstanding scholars and scientists to pursue their research free from teaching and administrative obligations. Fellows receive a generous salary, travel funds
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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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is expected. Teaching is expected as well as support in the organization of scientific conferences and other events. The position is paid according to standard ETH scale . Support for conference travel
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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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sources in future sustainable energy networks. It is thus crucial to develop combustors which can safely and cleanly burn hydrogen. The project aims at investigating the combustion physics of hydrogen fired
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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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to develop the formulation further into a potential product. This project involves the Laboratory for Soft Materials and Interfaces at ETH Zurich, who has extensive experience in the engineering of complex
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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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powerful new technologies that have the potential of therapeutic breakthroughs for patients. Project background In this collaborative effort, the Postdoc will develop an in vitro model mimicking in vivo