46 data-science Postdoctoral positions at Oak Ridge National Laboratory in UNITED-STATES
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Requisition Id 15823 Overview: We are seeking a postdoctoral researcher skilled in biogeochemistry who will contribute to mercury remediation technology development program, specifically focusing
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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Requisition Id 15716 Overview: We are seeking a Postdoctoral Research Associate - Meteorologist who will focus on the development, testing, and deployment of data analysis methods for a variety of
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Requisition Id 15723 Overview: The Manufacturing Energy Efficiency Research & Analysis (MEERA) Group within the Manufacturing Science Division (MSD) at the Oak Ridge National Laboratory (ORNL) is
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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modeling, curriculum/active learning, data selection, iterative post-training, safety alignment and guardrails. Foundation Models for Science at Scale: Pretraining, instruction tuning, continued pretraining
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related experimental data. This position resides in the Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL) and is embedded in the MAIQMag (Multimodal AI
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materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
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position in AI for science. As energy consumption is becoming a serious challenge facing large-scale AI data centers, you will work with experts in this area exploring combination of existing techniques