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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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), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop physics-based computational models, including Finite Element Analysis (FEA
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development, business model transition (from support to mission-driven), and growing a team into a standalone organizational entity. Excellent written and oral communication skills. All team members deliver
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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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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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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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and validating models and integrating ML-driven approaches into instrumentation or data-processing frameworks. Competence in real-time control, automation, and instrument firmware/software co
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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