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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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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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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
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skills: Excellent written and verbal English communication skills BS or advanced degree in computer science, engineering or relevant work experience Experience contributing to open-source projects