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) Ensuring medical grade software quality following industry best practices for patients' usage at home and for researchers in rehabilitation facilities Designing, coding, and driving the automation of test
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, critical use of AI-assisted tools in research and code development, we treat these as part of the standard toolkit and expect them to be used with judgement Fortran is useful, as parts of our modelling
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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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coding workflows (e.g., Claude Code), are a clear advantage Track record of first-author publications Excellent written and spoken English; team-oriented mindset Workplace Workplace We offer A newly
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ethical issues and research requiring authorization or notification; template document provided. signed NOMIS code of conduct; template document provided. two external letters of reference
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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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infrastructure for these studies, including prompt design as a controlled manipulation, generative voice agent pipelines, conversation logging and transcription Extending and validating existing LLM based coding
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workflows Build and run RL environments for tasks with verifiable outcomes, such as mathematics, code, tool-use, and reasoning Implement and run reward modelling, reward calibration, and verifier-based
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considered.The job description is available on the same link (or QR code). In case of discrepancy, the French version shall prevail. We offer a pleasant working atmosphere in a multicultural, diverse and dynamic