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, filesystem performance, networking, and GPU utilization. Help maintain reproducible training recipes, configuration files, launch scripts, and documentation. Work with researchers and CSCS engineers to
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Time (LSST). The Fellow will honor the legacy of Dr. Vera C. Rubin by conducting cutting-edge research using state-of-the-art computational infrastructure—specifically dedicated high-performance GPU
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with unverified 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
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM datasets in the
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health and welfare benefits. A supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based computing environments, and
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 15 days ago
GPU computing, distributed training, high-performance computing, or cloud computing. Experience with probabilistic forecasting, ensemble methods, uncertainty quantification, data assimilation, or
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 15 days ago
, large-scale experimentation, GPU computing, high-performance computing, or cloud computing. Familiarity with modern AI-assisted software-development tools or coding agents. Publications, open-source
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architecture decisions, and you will operate what you design. We expect and support open-sourcing and publishing this work. The environment A large NVIDIA GPU cluster (B300/H200/H100 class) running
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 15 days ago
scalable scientific-data workflows using Dask and NetCDF or Zarr datasets. Experience with GPU or distributed training and familiarity with agricultural or environmental applications of weather
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across HHMI, with AI Scientists and engineers, a large GPU cluster, and industry partners. You will support the Head of AI@HHMI in running the program. That means projects, budgets, staffing, recruiting