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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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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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the University of Basel. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing
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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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period. The Geneva Graduate Institute has an interdisciplinary MA programme (MINT) and awards MAs and PhDs in five departments: IHP, International Economics, International Relations & Political Science
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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
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job