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modeling, AI/ML, data infrastructure, and laboratory automation with biological research programs across BSD. Champion interdisciplinary collaborations with computing, engineering, and data science divisions
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workflows that support reuse, reproducibility, and long-term value of research data for downstream analytics, modeling, algorithm development, and emerging data-driven methods. Contribute to R&D and mission
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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from
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fusion energy, climate modeling, AI, and national security. Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia. Grow your career in a
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engineering through model evaluation and deployment Experience analyzing high-throughput sequencing data (16S, metagenomics, or transcriptomics) Familiarity with workflow orchestration tools and
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. Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia. Grow your career in a mission-driven, innovation-focused environment with access
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simulations or for data-driven modeling. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations. Develop different
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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). Major Duties/Responsibilities: Develop AI/ML models and systems for diverse data and mission contexts Design and implement reproducible pipelines for data acquisition, feature engineering, model training
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a