8 gpu-programming positions at ETH Zurich

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  • ETH Zurich | Switzerland | about 13 hours ago

    science or Physics You have developed a keen interest in medical imaging physics, signal and data processing Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and

  • ETH Zurich | Switzerland | 17 days ago

    research-focused HPC environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe

  • ETH Zurich | Switzerland | about 2 months ago

    . We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe. The team counts more than a dozen full-time

  • ETH Zurich | Switzerland | about 13 hours ago

    researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan

  • ETH Zurich | Switzerland | about 13 hours ago

    science, conversational AI, and marketing analytics and on substantial investments in on-premises GPU infrastructure that allows us to work with confidential partner data under full data control. The focus

  • ETH Zurich | Switzerland | about 2 months ago

    collaboratively in a research-focused environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in

  • ETH Zurich | Switzerland | about 2 months ago

    track record of open-source contributions. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in

  • ETH Zurich | Switzerland | about 1 month ago

    with thousands of CPUs and GPUs, petabytes of storage, and high-speed, low-latency networks across multiple data centres in Switzerland. As research workloads continue to evolve, we are building a hybrid

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