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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the Emergent Materials and Processes Group. The candidate will perform basic and applied
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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. Extensive hands-on experience with analytical characterization of bioprocess samples, including high-performance liquid chromatography (HPLC), gas chromatography (GC), inductively coupled plasma optical
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solubility behavior, nucleation kinetics, and polymorph screening Experience with characterization techniques such as UV/Vis spectroscopy and X-ray diffraction (XRD) Experience working with automated or high
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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Manufacturing group perform science-based membrane synthesis and scaleup development by using roll-to-roll manufacturing and machine learning enabled in-line characterization and quality control methods
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player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus in Lemont
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of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting