190 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs in Switzerland
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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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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. 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 courses in the field
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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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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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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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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
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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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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