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complex algorithms. Experience using computing clusters for simulation and data analysis. Experience with accelerator modeling and simulation codes, such as Elegant and Cheetah. Experience with SDDS, Tcl/Tk
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detailed observations, gather and analyze data, and effectively report results. The position requires hands-on laboratory work to develop and synthesize new organic materials and to develop, carry out
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vector network analyzer, spectrum analyzer, or FPGA-based data acquisition. Cryogenic measurements and equipment maintenance, preferably dilution refrigerator. Knowledge about low-noise microwave
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performance studies, detector operations, and/or upgrade activities Strong skills in scientific programming, software development, and data analysis Ability to work effectively in a collaborative
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will work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract
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strong programming skills (e.g., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work both
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with analytical techniques such as XRD and SEM. Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting test
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experimental data is required. Ability to work effectively in a collaborative, multi-institutional research environment is required. Ability to model Argonne's Core Values: Impact, Safety, Respect
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data and communicate findings through: manuscripts for peer-reviewed journals presentations at scientific conferences internal reports and group meeting presentations Position Requirements
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computational models for battery materials and processes Implement models and perform numerical simulations Analyze and interpret simulation and experimental data Integrate AI tools and workflows to enhance