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observable material characteristics. Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork. Preferred skills and qualifications: Experience with Diamond PE-CVD synthesis
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networking, distributed quantum computing, quantum-system architectures, or closely related areas. Develop models, algorithms, simulation capabilities, and research software for the design and evaluation
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-on experience with analytical techniques such as gel permeation chromatography (GPC), rheology, and nuclear magnetic resonance (NMR) spectroscopy Ability to model Argonne’s core values of impact, safety, respect
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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assess vehicle technologies to quantify energy consumption, performance and cost benefits. In this role, a successful candidate will perform vehicle modelling and simulation of advanced powertrains
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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communication skills Record of publications, presentations, or other technical outputs commensurate with career stage Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork
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publications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with x-ray-based techniques to probe structure and reactivity under
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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collaborative research environment Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with device nanofabrication Experience in