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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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will join a team developing and testing material separations and recycling operations and will help contribute to that team. The successful candidate is not required to have but would benefit from a good
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Position will be focused on laboratory work to advance new types of polymer membranes that can be utilized in CO2 separation and conversion. In addition, they will work on utilizing electrodialysis
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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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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., 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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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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(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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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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) 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