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establish and grow a centralized pool of space engineering expertise within ETH Zurich | Space. This pool will support ETH Zurich–led space projects and technology programs, strengthening ETH Zurich’s role as
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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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working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential. Knowledge of deep learning approaches and
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analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in
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) Familiarity with automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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software engineer. You have solid experience in multiple programming languages, in particular Python. Experience working with plugin systems is a big plus. Familiarity with continuous integration pipelines is an
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, and be at the beginning of their research career. Principal qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as
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project administration Profile You hold an architectural or advanced technical degree corresponding to FHEQ Level 7 You have a strong interest in programming and, ideally, experience with Python and C
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executing computational projects. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran