133 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at ETH Zurich
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses on transitioning from academic prototypes to commercial-grade industrial systems while ensuring complete IP...
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80%-100%, Zurich, fixed-term ETH Zurich | Space is dedicated to advancing space activities both within ETH and in collaboration with external stakeholders. Our mission is to position ETH Zurich as Europe's leading institution in space research and education, while also being recognized as a...
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to preferences and behavior in other policy realms. To answer these questions, the team relies on an original approach combining survey and geocoded data with survey experiments. Job description Program surveys in
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses on transitioning from academic prototypes to commercial-grade industrial systems while ensuring complete IP...
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software for scientific data analysis. B: A computer scientist or software engineer specialised in algorithmic optimisation and data structures, with demonstrated accomplishments in the context
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology