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for recruitment positions and for general criteria for the position. Preferred selection criteria Knowledge of in Norwegian/Scandinavian language Experience with GPU based systems Experience with HPC based
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds
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their understanding and utilization of HPC resources. KNOWLEDGE Required Knowledge of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated
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Click to read more about the Dublin Innovation Institute (DII): https://dublininstitute.northeastern.edu/about/ Term: 10 months, full time Reports to: Dr. Shashi Murthy, Head of Institute. Prof. Giovanni
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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, and administers CPU/GPU HPC clusters, including management and compute nodes, storage infrastructure, interconnects such as InfiniBand, and physical infrastructure in the datacenter and related systems
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for a researcher in gravitational wave astronomy at the Institute of Applied Computing and Community Code (IAC3, http://iac3.uib.es ) funded by the Beatriz de Galindo fellowship (BG24/00137) supported