203 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Switzerland
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference
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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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that are transferable to a broader landscape of opportunities. You will have the opportunity to visit industry and other academic institutions within the consortium. After completing the program, you will have a thorough
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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for further information) Scan of your validated UZH Card Letter of invitation or research plan Depending on the type of activity applied for, we require either a letter of invitation or a research plan. Letters
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Transcriptomics Specialist; Image Analysis Specialist (this position); Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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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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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics