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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs Special Requirements: This position requires the ability to obtain and maintain a clearance from
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data connectivity. This role ensures that all changes to control configurations, communications pathways, or system integrations are made in accordance with Industrial Control System / Operational
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evergreen position. We are continually reviewing applications to fill potential openings as they arise. Apply today to be part of our dynamic environment. Responsibilities include: Information and
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development teams Basic Qualifications: A Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other field relevant to the job duties. Competency in Python and C++ programming Ability
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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material. Interface with RRD staff, vendors, and ORNL Procurement on activities such as bid and award information, exceptions to requirements and delivery information, and noncompetitive justification
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector
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physics through a combination of exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector