33 modelling-complexity-geocomputation Postdoctoral positions at Oak Ridge National Laboratory
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, transportation, and computing. The CIR Group is a part of the Geospatial Science and Human Security Division at ORNL. The CIR group is heavily engaged in modeling risk and resilience of critical infrastructures
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photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale
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characterizations, and models that are suitable for nuclear fuel performance codes. Knowledge and experience of x-ray computed tomography, mechanical testing, and finite element modelling is desirable. Major Duties
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for Risk Forecasting, Large Language Models (LLMs), and Human-in-the-Loop AI Systems. Our aim is to advance AI for Operations by integrating next-generation AI agents and LLMs with real-world operational
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Requisition Id 15094 Overview: Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate who will focus on material property testing, analysis, and modeling of reactor isotope
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solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference). • Develop agentic AI systems and AI harnessing
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AI processes (e.g., model training, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows
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breaking in nature, the limits of nuclear stability, and signatures of new physics beyond the Standard Model. Major Duties/Responsibilities: Develop formalism and methods for computing properties of nuclei
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. The goal of this work is to investigate the dynamics of beams with intense space charge and benchmark simulation models against experimental results. As a U.S. Department of Energy (DOE) Office of Science
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models