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                Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 7 days ago-performance computing has reached a new milestone, with the world's most powerful supercomputers exceeding the exaflop threshold. These machines will make it possible to process unprecedented quantities of data 
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                Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 hour agodescription: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and 
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                guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C 
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                Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 21 days ago://ffaucher.gitlab.io/hawen-website/ ), by enriching its feature set and improving its parallel performance on graphical processing units (GPUs). The Hawen software simulates wave propagation in various media, including 
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                IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days agosupercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · development of methods for acceleration of parallel applications 
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                . In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be 
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                integrate linear and circular processes, enabling used products to be transformed into new generations. What you will do Implement GPU-accelerated Gaussian Mixture Model (GMM) learning in PyTorch Optimize 
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                developing computational infrastructure, designing machine learning segmentation and classification pipelines, creating visualization and UI tools, processing, storing, and disseminating large datasets, and 
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                Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software 
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                quoting reference number 8109. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. The UNSW Selection Panel will meet to decide upon a final