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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank
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Qualifications: Experience in implementing ab initio simulation codes such as VASP or CP2K on massively parallel architectures. Solid skills in common scientific programming languages, in particular
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Requisition Id 16889 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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architectural characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate
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making AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier
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as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, and disseminate innovative results through publications and
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/or digital quantum simulation theory and practice. Familiarity with quantum and classical programming languages and scientific computing . Preferred Qualifications: We welcome candidates with
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming