89 parallel-computing "Institute of Computer Science" Postdoctoral positions at Oak Ridge National Laboratory
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with state-of-the-art high-performance computing. Key Research Areas: AI for Science : Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance
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five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate
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applied mathematicians conducting basic and applied AI/DL research in support of the Laboratory’s missions. Basic Qualifications: A PhD in computer science or an AI-related field completed within the
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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collaboration with a multidisciplinary team of researchers in quantum computing and condensed matter physics theory and experiment. The ideal candidate will have a strong background in quantum
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Qualifications: Ph.D. in robotics, mechanical engineering, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years
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Materials (MsM) group of the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using
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mathematics, computer science, physics, engineering, operations research, or a related quantitative discipline. Demonstrated experience applying Bayesian methods to scientific or engineering problems
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discovery of novel quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the