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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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, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract kinetic information. Evaluate bioconjugation
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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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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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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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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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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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. 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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this position, and career goals Contact information of 3 potential referees Curriculum Vitae Publication list A copy of your M.sc. or PhD certificate Coding sample / Github account / any other relevant
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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