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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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Requisition Id 16010 Overview: The Watershed Systems Modeling Group (WSMG) within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated
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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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a focus on biobased materials, polymer and chemical processing, materials formulation, critical mineral separations and process technologies. Simulation, modeling, modern AI/ML and emerging
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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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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advance the integration of observations and experiments into Earth system models across multiple scales. In particular, we are seeking a scientist with expertise in process-based modeling of biogeochemistry
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Focus will largely be in developing and deploying such AI/ML algorithms, closely collaborating with theorists and experimentalists to realize physics- models and/or physics-aware ML-models that can bridge
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new robotic construction processes (e.g., robotic assembly, automated fabrication, large-scale additive manufacturing, modular construction automation) Develop control strategies, perception systems