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this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools for developing and operating their solutions. For effective collaboration
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, OpenMP) and distributed memory (MPI, CUDA). Ability to effectively prioritize workload, manage multiple concurrent projects, and meet deadlines with minimal supervision. Excellent written and verbal
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maintain multiple GPU clusters and networked storage systems. Monitor system performance, troubleshoot hardware issues, and coordinate repairs or upgrades in collaboration with Temple ITS. Oversee the lab’s
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Computer Science, Information Technology or a related field Proficiency with multiple Linux distributions such as Ubuntu, CentOS, Debian, and Red Hat. Hands-on experience with Git and at least one scripting
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stack across multiple clusters, including compilers, libraries, scientific applications, AI/ML frameworks, containers, modules, and workflow orchestration systems. Oversee the development and maintenance
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multiple hardware and operating system stacks and providing ownership in specialist areas when necessary and resolve Helpdesk tickets within agreed SLAs Contribute to the IT strategy, plans, policies
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to join the TomoWISE beamline project. TomoWISE beamline foresees four operational modes using multiple sources and endstations, offering options such as a large field of view or high spatial
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written and oral communication skills. Experience with MPI, OpenMP, parallel I/O (including HDF5), CUDA and/or OpenACC, Fortran, C++, Python. Motivated self-starter with the ability to work independently
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
, for instance with OpenMP/Cuda, and external libraries can be investigated (e.g., Psyclone). 3. Implementing Additional Features for Wave Propagation: The following additional features will be implemented