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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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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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
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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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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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programme Reference Number AE2025-0506 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0506
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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- GPU. What we offer As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure