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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
-performance computing has reached a new milestone, with the world's most powerful supercomputers exceeding the exaflop threshold. These machines will make it possible to process unprecedented quantities of data
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Job Summary Serves as a catalyst in the learning process by presenting course content in an organized and motivating way, keeps current in the chosen field of study, and responds to students as
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the Institute of Computer Engineering of the Faculty of Informatics at TU Wien, the position of a University Professor (all genders) for the specialist field of “Parallel Computing” with permanent (full-time
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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leadership responsibility for efficient administrative processes, effective data and reporting infrastructure, and operations support to LGS leadership and constituent/client program staff. This individual
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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and teaching department. Research currently focuses on computational engineering, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel