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Field
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing
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Languages, Machine Learning, Data Mining, Data Processing, Statistics, artificial intelligence, parallel and distributed systems, cryptography, computer and network security, computer vision, image processing
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, or similar CI/CD systems Containerization (Docker) and building software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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parallel and object storage systems, and advanced AI/ML compute environments optimized for large language models and data-intensive science. The Architect is highly hands-on building and automating secure
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range of areas including but not limited to Artificial Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
23 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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, Computer Science, Engineering, Statistics or Data Science or other relevant discipline 3 years of experience in designing and developing scientific computing software Experience in high-performance parallel