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with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables. The successful candidate will work closely with staff researchers and technical teams
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addition to research activities, the candidate will be expected to play a pivotal role in mentoring students and fellow post-docs on various material-centric projects, fostering an environment of knowledge sharing and
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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, and fission products through experimental testing and data analysis Prepare test plans and operating procedures, and contribute to technical documentation, reports, publications, and sponsor
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The researcher will work at the intersection of materials science, chemistry, data science, and laboratory automation to identify promising materials, guide experiments, and establish relationships
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, battery electric and fuel cell powertrain design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes
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the names and contact information of three professional references. 7. Ability to model Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork. 8. Ability to work onsite at Argonne