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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 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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, 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
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classical calibration pipelines, including camera models, calibration targets, and algorithms, followed by an overview of our in-house specialized methods. In parallel, you will work in experimental setups
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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their PhD studies in parallel. This is an exciting opportunity for Loughborough’s Doctoral Researchers, who are currently in R2 or early R3 of their PhD programme, to gain complementary experience outside