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Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
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. This researcher will focus on advancing secure, trustworthy, and efficient AI solutions for scientific applications by developing state-of-the-art sparse algorithms in matrices, tensors, and networks
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-enabled scientific workflows that address high-impact national challenges. Responsibilities include, but not limited to: Develop novel AI, machine learning, and knowledge-guided learning algorithms
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. You will develop scalable algorithms, software, and AI-enabled methods for modeling, simulating, and co-designing spiking neural networks and emerging computing systems. Drawing on expertise in
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understanding of structural, thermodynamic, and dynamical aspects of molecular reaction chemistry in aqueous and organic media. Develop and evaluate statistical mechanical and AI/ML algorithms/workflows
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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and controls, automation, and/or robotics Demonstrated experience in developing and implementing advanced controls and sensing algorithms Demonstrated ability to work both individually and as part of a
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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work with multidisciplinary teams to develop, validate, and demonstrate advanced mobility technologies using large-scale transportation data, high-fidelity simulation, vehicle-in-the-loop testing, and
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. Proficiency in Python and MATLAB/Simulink for modeling, data processing, algorithm development, or experimental control. Experience applying one or more artificial intelligence or data-driven methods, such as