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, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, expertise, and powerful computational resources (GPUs & CPUs) of the team. This PhD position is fully funded within the framework of RoGSiLT: Robust and Generalizable Sign Language Translation , a
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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available to a University in the world. It includes 49,920 AMD cores for traditional computing and 608 NVIDIA GPUs for artificial intelligence analyses. The University of Florida Genetics Institute is an
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funded doctoral position (TV-L E13) International research environment Joint affiliation with Saarland University and DFKI Access to state-of-the-art GPU and HPC infrastructure Collaboration opportunities
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GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is
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fields Knowledge of HPC and very good programming skills in C++ Experience with GPU programming and data-intensive workloads is an advantage Very good command of English Knowledge of German is an advantage
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, accelerated partition utilizing next-generation GPUs—set to become available in 2027. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate
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the ELLIS network of excellence in AI. You will be embedded in a vibrant, international team of PhD students and postdoctoral researchers, with access to substantial GPU compute, real robots and rich
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computational resources. At IP2I, dedicated scientific computing infrastructures, including CPU and GPU clusters, HPC facilities, and big-data environments, are available for large-scale simulations and data