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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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programmatic readiness, and integrating new work into the broader radioisotope mission and execution framework. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
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frameworks, and associated standard processes (e.g., NIST, DISA STIGs). HPC systems architecture experience, including cluster management tools (e.g., SLURM, PBS, Moab). Linux system administration skills
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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will design and deploy agentic workflows and frameworks that bridge leadership computing resources, instruments, and cloud platforms. You will collaborate with scientists, facility operators, and DOE
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into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds Apply machine learning techniques to predict thermal system
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planning principles and frameworks that can be applied to various urban environments. Monitor and evaluate multi-energy-system integration solutions to ensure they comply with regulations and standards
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standards to establish a stable framework that supports all project teams and partners to improve the probability of successful project delivery. Track all project costs and provide written and verbal reports
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. Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs). HPC systems
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software development environment Proficient in the following programming languages: JavaScript, Python, SQL Experience with: Backend Frameworks such as FastAPI Frontend Frameworks such as Angular, React