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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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, including compute, storage, and AI platforms, while working closely with researchers and IT teams across EPFL. This role requires a customer-oriented mindset, adaptability, and strong collaboration skills
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stacks. Unlike typical high-level networking roles, this project requires "bare-metal" intervention, programming the firmware and drivers that decide how and when data moves. Role & Profile You will lead
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systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel semantics, the
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Test Engineer to work on the development of neurorehabilitation therapies for patients with motor disabilities (spinal cord injury). Our mission is to conceive and deploy innovative interventions
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structure Implement data-ingestion and similarity-matching logic that completes missing component information (GNN) Build a lightweight web interface: data upload in, ranked results out Work independently
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the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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this role, your main responsibilities will be: Developing, deploying, and maintaining solutions that empower education and research, using technologies like FastAPI, React.js, Node.js, PostgreSQL, and Traefik
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the smooth operation of the various video-conferencing systems during events Provide support and advice to users, evaluate and select software and IT equipment, procure and set up equipment, customize and