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80%-100%, Zurich, fixed-term The Development Economics Group (DEC) at ETH Zurich is dedicated to empirical economics research that can inform more effective policies to reduce global poverty and
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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of nanoparticles for healthcare and industrial applications. As a PhD candidate, you will: Develop and refine SAXS and FCCS methods to quantify size, concentration, density and internal structure of diverse
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developments in the field of chironomid palaeoecology include the development of high-resolution analyses to reconstruct decadal-scale ecosystem dynamics of lake ecosystems, the interpretation of influx data
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-bleaching of the fluorescent dyes involved, which ends the experiment prematurely, rendering many biological questions inaccessible. To bypass this limitation, our group has developed DyeCycling/FRET, where
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clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800
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dynamics shape the equity, effectiveness, and durability of biodiversity policies. The PhD candidates will develop interdisciplinary research at the intersection of environmental policy, data science, and
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supported by experts on all these disciplines working within the project and the role of the PhD will be more specifically to develop metrics to assess the regenerative capacity of Building projects
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research in mineralogy, dynamics, and evolution of deep planetary interiors. Project background The Experimental Mineral Physics group applies high-pressure and high-temperature experimental approach mainly
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order