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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
Python, e.g., Ray, Dask); Very good knowledge of hardware and software technologies in the areas of distributed computing and Big Data; Experience with container management tools (Docker, Singularity) and
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problems in science and engineering on high-end parallel and distributed computing platforms. The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically
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of computational computing clusters including, but not limited to GPU clusters, General HPC clusters, and SMP environments. Experience with Centos or similar Linux distributions. Experience with programming jobs
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, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair
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of relevant experience in Linux systems administration or HPC systems engineering. Preferred Qualifications Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing
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of analytical reports to achieve client, program, and business objectives for resource optimization. Work closely with internal technology teams and vendors to deliver tools and system solutions. Lead the
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, academic-year position at the rank of Assistant Professor starting in Academic Year 2026-2027, with preference given to candidates specializing in Cloud/Cluster/Distributed Computing, Algorithms and Theory
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Competitiveness and is organised into various divisions and services in support of ESA’s programme directorates. You will support the tender actions and resulting contracts/cooperative agreements assigned to you
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Talent Recruitment Announcement of the College of Informatics, Huazhong Agricultural University I. Introduction The College of Informatics at Huazhong Agricultural University (HZAU) comprises seven
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, operational intelligence, and natural-language interfaces that support distributed facility operations and improve reliability across U.S. ATLAS sites. In addition, the Lab provides comprehensive computation