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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview As an associate AI Engineer who thrives at the intersection of deep‑learning
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, PyTorch) for ML applications, training, evaluation, and deployment of models Use of GPU-based servers and modern IT infrastructure for training and inference Application of classical ML methods (e.g
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interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior research scientist with proven expertise in advanced
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in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview As an AI Engineer who thrives at the intersection of deep‑learning research and
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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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of thick and strongly scattering samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize
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publications at top-tier venues such as CVPR, ICCV, ECCV, NeurIPS or ICRA. You will have access to extensive compute resources at TU Delft, ranging from local GPU servers to large-scale HPC infrastructure
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interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a research scientist with proven expertise in advanced computing
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multiphase flows Your tasks Develop and extend the in-house GPU-accelerated multiphase Lattice Boltzmann (LBM) code for DNS-grade boiling multiphase flow related to nuclear reactor operation, including bubble
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megawatts. To transfer energy efficiently from the grid to CPUs/GPUs, higher system voltages are required in data centres/computer racks, and efficient power electronics converter systems based on SSTs