39 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at ETH Zurich in Switzerland
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high-frequency datasets to improve economic forecasting Develop and maintain reproducible code, data pipelines, and research software Profile Excellent academic results and is motivated to produce high
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for the control and data plane of network infrastructure devices as well as applications and network stack components for endhosts using SCION . This involves the design of the systems and collaboration on code
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, transformation codes, and versioning routines Building and maintaining data acquisition routines, including APIs, web scraping, and automated downloads where feasible Conducting descriptive analysis and
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the integrity and availability scientific work depends on — erasure coding, redundancy, hot-to-archival tiering. Automate everything. Deploy and scale storage and data services as code. Snowflake infrastructure
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together to deliver full system functionality. Testing these complex ICs also requires automated test codes and operating high-end electronic measurement facilities. We are seeking a research assistant to
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Strong interest in the development of theoretical or computational methods for optimization methods, quantum computing, and machine learning Strong leadership skills Strong coding skills Ability
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, which requires the review of any failed tests on our weekly data imports, as well as general maintenance and improvement of the code- and database This will take the form of responding to issues on GitHub
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collaborators, and eventually releasing open-source code and writing research papers when appropriate. Job description Working on projects requiring expertise with LLM-based and NLP methods with collaborators
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, certifi cates, links to code repositories, and/or a portfolio ofprojects Further information about our research can be found on the CGL Digital Characters page and the Digital Einstein project page
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certificates Contact details of two referees Work examples (e.g. MSc thesis, code repositories, publications; if available) Testimonials (if available) Further information about [Department/Institute] can be