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operates within a large DOE consortium of nine U.S. Department of Energy (DOE) national laboratories. The project is dedicated to the accelerated discovery of catalytic materials for low-temperature PEM
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(H2, NH3). The successful candidate will leverage high-performance computing (HPC) resources at the Laboratory to perform CFD simulations of low-carbon fuel injection, mixing, combustion, and emissions
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studied under external influences such as strain, polarization, electric fields, and moiré interfaces. The work will leverage the Quantum Emitter Electron Nanomaterial Microscope (QuEEN-M)—a cutting-edge
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., transient absorption and emission), including laser operation, optical alignment, detector interfacing, and data analysis Excellent written and verbal communication skills Ability to model Argonne’s core
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) at Argonne National Lab (near Chicago, USA). The postdoctoral researcher will work on the development of large-scale molecular dynamics, AI and machine learning based analysis to understand ferroelectric
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oscillators driven by the storage-ring RF signals to fulfill the function of manipulating X-ray pulses. More specific responsibilities include MEMS design and simulation, testing and characterization
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking to hire a Post-doctoral Researcher. The candidate will work within a multidisciplinary team with researchers
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) operating on high-hydrogen content fuels. Develop turbulent combustion modeling approaches for predictive CFD simulations of extreme events (such as, flame flashback) in gas turbine combustors operating