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and independent in conducting research under general guidance and are expected to prepare manuscripts for scientific publication and present the work to sponsors and at conferences. The PSR Group
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will evaluate accelerated testing methods (in-situ
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Requisition Id 15388 Overview: We are seeking a Postdoctoral Research Associate who will work at the interface between three different groups: the Single Crystal Diffraction Group in the Neutron
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electronic structure theory (e.g., density functional theory), and machine learning based computational studies of molecular and periodic systems. The postdoc will also work within a multidisciplinary multi
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Membranes Group in the Separations & Polymer Chemistry Section, Chemical Sciences Division (CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our team
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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artificial intelligence (AI). The successful candidate will play a key role in developing a multi-modal generative AI framework aimed at exploring how coastal wetland ecosystems across the Southeastern
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species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various