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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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), to be filled as of April 1st, 2025 or by agreement. The project Killing to Keep – Violent Field Practices and Natural History in the Age of Empire funded by the Swiss National Science Foundation
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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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Your position TwoPhD studentships are available to characterize health-relevant properties of aerosol particles. Our group develops novel instruments to measure continuously oxidising properties of aerosol particles in the ambient atmosphere and in laboratory experiments (e.g., Utinger et al.,...
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multiple places in the world: Case study 1: Birds in the tropical dry and moist forests of Northern South America Case study 2: Fish and mollusks in the shallow and deep waters of the Southwestern Pacific
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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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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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and laboratory tasks constituting up to 10% of the work time. Profile MSc in Earth Science, in some cases a MSc in Environmental or Atmospheric Science would be considered if there is appropriate
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information science, focusing on spin qubits and hybrid superconducting-semiconductor quantum devices. This position is offered in a shared initiative between the laboratories of Prof. Wallraff and Prof. Scarlino