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code and disassembly a plus. Familiarity with embedded systems preferred. Prior use and familiarity with web or network-related tools, e.g., burpsuite and wireshark a plus. Demonstrated desire and
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awareness and understanding of open relevant research conducted throughout the DOE complex and the world. Basic Requirements: PhD in Mechanical Engineering, Electrical or Computer Engineering, or related
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areas including information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and data processing workflows. Our staff need to be flexible
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Export control, no clearance: This position requires access
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reliable, automated execution of scientific applications across heterogeneous, geographically distributed computing environments, integrating compute, storage, networking, and visualization resources
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will be responsible for the end-to-end design, development, integration, deployment, and sustainment of complex systems that include both software and hardware/infrastructure components. You will
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, analysis and tuning of systems, networking, and storage. • Previous experience working in a government, scientific, or other highly technical environment. • Excellent interpersonal skills suitable for user
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resolving bottlenecks and inefficiencies. Identify and resolve complex issues, ensuring minimal downtime and disruption to critical operations. Collaboration and Leadership: Lead HPC-related projects, from
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and