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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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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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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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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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have a strong background in quantitative methods and are excited to code. You are interested in topics of global poverty and inequality. You have a good knowledge of the statistical software R and/or
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, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and the associated documentation, write research papers or technical reports as appropriate, and
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. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata
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on such hardware. Several technologies are considered for running on GPUs, compiler directives which are inserted in the code, or for some parts a complete re-write using a Python domain specific language (DSL