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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces
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publications and conference presentations. The selected individual will have access to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization
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to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization of deposition science and electrochemical interfaces. Position Requirements: A PhD in
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of physical chemistry, inorganic chemistry, computational materials science, or chemical engineering or a closely related field, with demonstrated experience in the scientific application of this knowledge and
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become part of a new holotomography software package actively being developed by the team. Position Requirements Required Knowledge, Skills, and Experience: PhD (recently completed or soon-to-be completed
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. This level of knowledge is typically achieved through a formal education in chemical engineering, materials science, chemistry, or related field at the PhD degree level with zero to five years of experience
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, Respect, Integrity, and Teamwork. Preferred Knowledge, Skills, and Experience Experience with coherent diDraction imaging or x-ray microscopy methods. Knowledge of crystallography. Experience with molecular
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the Center for Nanoscale Materials (CNM) and Material Science Division (MSD) at Argonne. Position Requirements Required skills, knowledge and abilities: Ph.D. (completed within the last 0-5 years
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of impact, safety, respect, integrity, and teamwork. This level of knowledge is typically achieved through a formal education in materials science, physics or related discipline at the PhD level or