24 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at EPFL in Switzerland
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. Participating in code reviews to ensure code quality and to provide & receive feedback. Applying IT security best practices, including e.g. Zero Trust and Least Privilege principles. Working with clients
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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verifiable outcomes, such as mathematics, code, tool-use, and reasoning. Develop reward modeling, reward calibration and verifier-based training. Generate and validate synthetic or gym training tasks. Run
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methodological expertise. Contact details for three professional references. Optional but encouraged: links to code repositories, analysis pipelines, experimental software, technical projects or other outputs