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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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influence the technological trajectory of the ecosystem. The core responsibilities of this position include developing and owning the overall SoC specifications and architecture, encompassing CPU, GPU, memory
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to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) – Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU
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Science Beamline (P61A/WINE), the lmaging Beamline (P05/IBL), and the Nanofocus Endstation of Micro? and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https
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scenarios Convolutional neural networks for computer vision require substantial computing resources and introduce significant latencies even in modern GPU systems. This project investigates neuromorphic
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development. To validate your developments, you will be provided with access to the top European supercomputers (Adastra, Jean-Zay, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3441
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Endstation of Micro‑ and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https://gems.hereon.de). The techniques offered at our diffraction beamline P61A have a strong
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 months ago
imaging datasets across modalities (X-ray, ultrasound, MRI). Scalable ML workflows: GPU-based training, experiment tracking, reproducible pipelines, model validation and deployment. Research excellence
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invested in new laboratories and maker space at the centre of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
that scale to the full array. This scale up involves integration with cloud services, existing distributed storage networks, and the Array’s high-performance GPU accelerated pipelines. In collaboration with a