19 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at ETH Zurich in Switzerland
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with vibe coding, but you’re also expected to take responsibility for ensuring proper code quality control Workplace Workplace We offer A unique opportunity to work with LLMs in an Educational Technology
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments
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and training machine and deep learning models using Keras/TensorFlow and/or PyTorch, supported by experience in statistical data analysis. You have experience with collaborative coding practices
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such as Stata, R, and/or Matlab Collecting data using web scrapers and data providers like Macrobond Coding in R or Matlab on data analysis and macroeconomic forecasting Programming surveys with Qualtrics
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; working knowledge with research data management according to the FAIR principles and corresponding software systems (e.g., openBIS); hands-on experience with best practices for code management and
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code, clear README, etc.). We will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during
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of financial support for year 4. completed form concerning ethical issues and research requiring authorization or notification; template document provided. signed NOMIS code of conduct; template
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(these could be publications, software code, projects, etc) Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not
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learning technologies. You will actively participate in code reviews and maintain comprehensive documentation to ensure code quality and reproducibility. Additionally, you may be expected to contribute