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Field
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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technologies for construction engineering and management. The postdoctoral researcher will work with an interdisciplinary team to develop and evaluate innovative methods, tools, and systems that improve
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of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and trends in the field SKILLS Outstanding proposal and
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Theoretical Physics by the beginning date of the appointment. Expertise in modern aspects of non-perturbative quantum field theory, such as semi-classical methods, symmetries, anomalies, and lattice gauge
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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predictive insights that support improved food and feed safety. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) utilize field and laboratory methods in plant
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
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network state methods. The research will be supervised by Professors Thomas Barthel and Norbert Linke. QLab is a user facility supporting the global community of quantum researchers, educators, and