37 postdoc-deep-learning "https:" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16492 PDAA Overview: We are seeking a Postdoctoral Research Associate with a strong background in organic synthesis to develop, characterize, and test new molecules for the chelation and separation of metal ions relevant to isotope production and energy. This position...
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Requisition Id 17231 Overview: We are seeking a Postdoctoral Research Associate who will focus on the development, application, and optimization of an active learning workflow for dataset
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: Research and development of scalable AI, ML, and deep learning models using the Oak Ridge Leadership Computing Facility (OLCF) systems. Conduct research with scalable transformer-based foundation models with
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learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical testing (tension, compression, fatigue, creep
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, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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Requisition Id 16869 Overview: We are seeking a Postdoctoral Research Associate to use advanced scanning probe microscopy for the development and application of multiscale excitonic probes. In this role, you will study buried interfaces, defects, and charge-transfer processes in vertically...
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. Develop novel mathematically rigorous approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning
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Requisition Id 16261 Overview: We are seeking a Postdoctoral Research Associate who will focus on the physics and materials science of PLD-synthesized twisted oxide and hybrid quantum materials. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials...
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expertise in multiscale and multifidelity simulation techniques ( ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or
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Postdoctoral Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI