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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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environments, token-based data-access infrastructures, and next-generation HTTP/S caching technologies. The Lab also maintains the ATLAS distributed analytics and AI-assisted observability and operations
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will develop a novel hierarchical control framework
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remains an active subject-matter expert in HPC frameworks, distributed computing, AI-accelerated software stacks, and large-scale workflow orchestration. The role supports faculty, research staff, and
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, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Part of the research engineer's
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical