73 computer-engineer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Argonne
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In the Computational Materials Group, we focus on the development and use of computational and theoretical methods to understand and predict the behavior of solids, liquids, and nanostructures from
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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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. In this role, you will lead a research program centered on AI-driven autonomous synthesis, including: Active learning and Bayesian optimization over synthesis parameters such as precursors, temperature
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(within the last 0-5 years) in field experimental physics, engineering, or a closely related field Excellent written and verbal communication skills Demonstrated ability to work effectively in a
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facilities, including synchrotron and neutron-scattering centers. The position offers the opportunity to establish and lead an independent research program while working closely with scientists across the QSCM
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will : Apply electrochemical engineering principles to develop processes such as oxide reduction
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backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply chain risk and challenges. Familiarity with the application of statistics
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The Nanoscience and Technology Division and the Center for Nanoscale Materials (CNM) at Argonne National Laboratory invite applications for a Postdoctoral Researcher or Argonne Associate position
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer