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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
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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
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research with state-of-the-art technologies for genomics, transcriptomics, proteomics, and metabolomics as well as by high-end bioinformatics analysis. The successful applicant will be part of the genomics
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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
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acquisition, data processing and data analysis. The group is supported by IT and bioinformatics experts and by the Metabolomics and Genomics Units of the FGCZ to support multi-omics approaches. Job description
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artificial intelligence. sciCORE provides advanced infrastructure and expert services for data- and compute-intensive research, including high-performance computing, scientific data processing and storage
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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
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. • Represent the programme in relevant scientific, technical and stakeholder meetings. Profile • PhD in genetics, genomics, bioinformatics, molecular biology or a related field. • Proven experience in
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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
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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