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performance of large-scale experiments. LLM post-training and Reinforcement Learning Support SFT, preference optimization, and reinforcement learning workflows. Build and run RL environments for tasks with
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, optimization, and modernization of infrastructure and workflows Support the reliability, scalability, and security of the platform services Profile Bachelor’s or Master’s degree in Computer Science
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of Switzerland programme. • Develop, maintain and optimize genomic data processing pipelines and analytical workflows. • Ensure the secure ingestion, storage, organization, traceability and delivery
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, and administrative staff). Lead maintenance, upgrade, and optimal operation of the electron microscopy infrastructure (SEM, TEM, FIB, cryo-EM, etc.). Develop and implement the strategic vision
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software optimization, and infrastructure management to researchers across EPFL, providing full-stack integrated services to internal and external project partners, and supporting EPFL in its research