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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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. Experience with modelling and simulation of complex, interdisciplinary systems Knowledge of computer architecture, computer networking, and experience with the development of virtualization technologies and/or
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experimentation and theoretical modeling. This position resides in the Collection Science and Engineering Group in the Modeling & Characterization Section, Nuclear Nonproliferation Division, National Security
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Experience in an R&D and/or testing environment Experience executing in a high-performance computing environment Use of AI/ML techniques to develop surrogate models and support scientific discovery Experience
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computational modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and
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into impactful energy, environmental, and national security solutions. The Geospatial Data Modelling Group within the Human Dynamics Section, part of the Geospatial Science and Human Security Division at ORNL, is
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control solutions and validate them through real-time modeling and simulation. The position requires a strong understanding of power electronic system requirements, from component-level design to full
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and numerical algorithms for modeling and simulation of nuclear systems. Computational Nuclear Engineers within the RTHPCM group will work with group, section, and division members and external
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Requisition Id 16167 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a Postdoctoral Research Associate with expertise in