137 parallel-processing-"KTH" positions at ETH Zurich

  • ETH Zurich | Switzerland | about 10 hours ago

    spin-offs. The lab belongs to the Department of Mechanical and Process Engineering (D-MAVT) and sits in the CLA building at Tannenstrasse 3, on the Zentrum campus next to the ETH main building. About 25

  • ETH Zurich | Switzerland | about 10 hours ago

    programmes will run in parallel: (1) reconstructing the regulatory architecture of E. coli at high resolution as a foundation for predictive models of gene regulation; (2) building large-scale single-cell

  • ETH Zurich | Switzerland | 2 days ago

    100%, Zurich, fixed-term The Macromolecular Engineering Laboratory (Prof. Mark W. Tibbitt) within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich, Switzerland engineers

  • ETH Zurich | Switzerland | about 2 months ago

    , networking, storage performance, checkpointing, and scheduling Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer) Profile

  • ETH Zurich | Switzerland | about 1 month ago

    Hargreaves). While range shift lags are well documented across taxa and regions, we have a much poorer empirical understanding of the demographic processes explaining lags, hindering our ability to forecast

  • ETH Zurich | Switzerland | 18 days ago

    This means experience with frameworks such as veRL, slime, Megatron-LM, DeepSpeed, TRL, vLLM, SGLang, or similar tools Strongly preferred Familiarity with distributed training concepts such as data parallelism

  • ETH Zurich | Switzerland | 2 months ago

    a major role in the advent of the Information Age - One high bandwidth fiber optic cable can replace thousands of electrical links to transmit the same amount of information. As a parallel to the

  • ETH Zurich | Switzerland | 2 months ago

    between the moment data lands on disk and the moment a researcher — or a training job — can actually trust it, find it, and use it. Our parallel filesystems and object stores already move data fast. What

  • ETH Zurich | Switzerland | about 2 months ago

    for Apertus models, from checkpoints during training to released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking

  • ETH Zurich | Switzerland | about 2 months ago

    technologies such as InfiniBand networks and multi-GPU systems Experience deploying or operating Lustre or other parallel file systems Familiarity with Slurm, Spack, and scientific software environments

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