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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with block copolymer patterning
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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written and oral communication across all levels of the organization Ability to present research at technical meetings and publish results in peer reviewed journal articles. Ability to model Argonne’s core
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Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, peer-reviewed publications, and other regular channels
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, electrochemical impedance spectroscopy, polarization tests, etc.) to advance the technical understanding of molten salt chemistry. Communicate effectively with supervisors, peers, and Laboratory management through
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environments. Analyze products for impurity content through techniques such as XRD and SEM-EDS to ensure that products meet sponsor requirements. Communicate effectively with supervisors, peers, and Laboratory
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discovery. Requirements: - A PhD in materials science or related science or engineering field received within the past 0-5 years. - Excellent written and oral communication skills as well as the ability
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processing Strong background in ferroelectrics, photonics, or solid-state materials Demonstrated ability to work independently and collaboratively in a multidisciplinary environment Strong written and oral communication
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kinetics for molten salt systems Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, peer-reviewed