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documentation practices. Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming. Familiarity with 5G/6G wireless standards and AI/ML
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of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine learning (particularly sound event detection), open
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with thousands of CPUs and GPUs, petabytes of storage, and high-speed, low-latency networks across multiple data centres in Switzerland. As research workloads continue to evolve, we are building a hybrid
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10346 Is the Job related to staff position within a Research Infrastructure? No Offer Description Recent approaches in conversational AI
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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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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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2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
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(including numerical optimisation, variational methods and MCMC sampling) C3 State-of-the-art deep learning (including transformers, graph neural networks and normalising flows) C4 Use of GPU programming and
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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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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based