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world models with deep learning methods. World models are generative models that predict future outcomes given past ones. We aim to work with both images and audio modalities and be able to use the world
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(SWEET CoSi) and aims to build up new projects in the domains of circular economy and land use change. In addition to research, the successful candidate will contribute to teaching environmental economics
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databases is a strong plus. Workplace Workplace We offer ETH (Swiss Federal Institute of Technology) and Eawag (Swiss Federal Institute of Aquatic Science and Technology) are world leading institutions in
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of Aquatic Science and Technology) are world leading institutions in Environmental Sciences. ETH and Eawag share a strong mandate in research, education and expert consulting and actively promote gender
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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such as biology, medicine, chemistry, earth and environmental sciences, cultural heritage, materials and surface science, and physics. The ID19 beamline at the ESRF is a multi-purpose long (145 m) imaging
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80%-100%, Lugano, permanent The Swiss National Supercomputing Centre (CSCS) develops and operates cutting-edge, high-performance computing (HPC) systems as an essential service facility for science
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world-leading institutions in Environmental Sciences. ETH and Eawag share a strong mandate in research, education and expert consulting and actively promote gender equality, staff diversity and inclusion
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to develop predictive methods for identifying sustainable chemicals
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in soft materials. This position is part of a project funded by the Swiss National Science Foundation, which will support multiple researchers, and focuses on the development of interfaces with