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Field
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, from Linux systems administration and networking to GPU infrastructure, research computing, and AI platforms. You will have ample opportunities to develop your expertise while contributing directly to
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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requirements of the position. Preferred Qualifications Experience with GNSS signal processing Experience with signal processing simulation tools Experience with embedded processors, GPUs, or FPGAs for signal
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feedback; optimize for real-time performance; distribute computations between GPU and device-proximal processors; ensure precise synchronization with visual and auditory stimuli. Real-Time Collision and
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. This position oversees the installation, configuration, and maintenance of servers, including GPUs, within the CRAY supercomputer environment and other hosted equipment. This position ensures compliance with
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institution. • Experience in developing and training machine models using PyTorch or TensorFlow in Multi-GPU environments. • Experience in working with high performance computing systems for both training and
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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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of individual nanostructures, with large-scale GPU-accelerated micromagnetic simulations developed within the group. The research is carried out within the DynaMat group at Ghent University. This group studies
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software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral communication skills. Motivated self-starter with the ability to work independently
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programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs