80 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" uni jobs at ETH Zurich
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Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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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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) 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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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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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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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