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Requisition Id 16930 Overview: We are seeking a Postdoctoral Research Associate to advance the scientific validation of quantum simulations for quantum materials. This work directly supports the
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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Ridge National Laboratory (ORNL) seeks a motivated Research Professional. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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will work with a multidisciplinary team of simulation/design, and technology experts. Major Duties/Responsibilities: The successful candidate will be involved in both developing new and applying existing
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/Responsibilities: Perform particle tracking simulations and computational analyses to support the design, optimization, and interpretation of advanced engineering and scientific research Develop and maintain
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multidisciplinary R&D projects involving modeling, simulation, hardware validation, and technology demonstration. The candidate will collaborate with researchers across ORNL and external partners from industry