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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct innovative research focused on the synthesis, recycling, and performance
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opportunity to contribute to cutting-edge research in data management and AI technologies. Key Responsibilities: Develop and scale data infrastructure for AI applications on supercomputing systems Work
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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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., 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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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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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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reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be
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We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National
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targeted atoms-trap defects pairs to study the dynamics of near field transfer. The candidate will study how near field interactions affect the atoms’ spin property. The postdocs will work with other team