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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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for developing and operating their solutions. For effective collaboration, an integrated and harmonized Software Development Lifecycle (SDLC)—covering planning, documentation, coding, building, testing, and
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datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
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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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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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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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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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; 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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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