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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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languages (Python, C++). Familiarity with software engineering practices such as version control, automated code testing, code packaging and containerisation. Problem-Solving: Strong analytical and problem
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generation, feedback on handwritten or code exercises, and assistance in grading handwritten exams. You will work side by side with faculty, staff, and master’s students across ETH and turn applied research
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applied computational techniques, so the role combines tasks in typesetting (LaTeX) and coding (Python). Job description Typeset and format lecture notes and problem sets using LaTeX Assist in developing
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/grid codes. However, they substantially increase the size of the converter and also reduce the system efficiency. Furthermore, the filter can impair the system stability. The rapid development of new
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for recognizing handwritten mathematics, diagrams, and code, and manage systems that provide timely feedback or rubric-based scoring. In your role focusing on open-source engineering, you'll design clean, modular
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expertise on optimizing codes and HPC workloads, conduct scaling analyses by means of performance / profiling tools, identify bottlenecks and develop strategies for optimization. You will inspect codes
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errors Confident working with analytics dashboards, tracking tools, and reporting key metrics (Google Analytics, basic SEO, UTM tagging) Comfortable with custom code integrations or working alongside
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. after the interviews. Two outputs. This could be your MSc thesis, a coursework, or anything else you consider worth showing (e.g. code, poster, etc.). Please note that we exclusively accept applications
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of generative AI algorithms for manufacturing Collaborate with an interdisciplinary team to transform research results into innovative solutions Develop high-quality code and build the basis for our industrial AI