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, Kubeflow, or comparable tools Experience with cloud or HPC environments and federated/distributed computing Experience with European collaborative research projects and biomedical or clinical data Personal
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cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum era. Our vision is to pioneer advancements in high-tech distributed and embedded systems
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learning, high-performance computing, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas such as energy, materials, biology, nuclear science, autonomous
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-time inference within rendering pipelines Minimum Qualifications: • Ph.D. in Computer Science, Visual Computing, Interactive Media, or related field • Strong C++ and/or C# programming expertise
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infrastructure. Possible applications include the scaling of neutral-atom quantum computing through distributed computing, as well as new tests of fundamental physics, such as exploring the interplay
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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at
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on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi
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the computing age, by transforming the capabilities of academia in all key areas; computing fields – supporting the rapid growth and evolution of computer science and computational areas of allied
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, high-performance computing, distributed computing, or large-scale workflow management. Experience developing reconstruction, simulation, or detector calibration software. Familiarity with modern machine
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing