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Field
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
on LazySlide ( et al Nature Methods ), our scalable software foundation, and our deep learning framework for age prediction (Abila et al., Nature Medicine, in press) to engineer a body-scale machine learning
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the underlying architecture and causal factors of human diseases such as cancer, aging related outcomes and sepsis. Key responsibilities for the postdoctoral associate position include methodology and software
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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on HPC computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. We’re here for the same mission, to bring science solutions to the world. Join our team and
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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, human-systems interactions, networks science, information, decision complex networks, dynamic data-driven application systems, the science of information computation and fusion, systems and software
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications