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-informed AI framework that decodes the complex relationships between material defects, functional fields (e.g., strain, electrostatic potential), and device performance, with a primary focus on leveraging
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We invite you to apply for a Postdoctoral Appointment with Argonne’s Electrochemical Materials and Interfaces Group in the Materials Science Division. The purpose of this appointment is to perform
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across materials science, chemistry, geoscience, energy technologies, and biology. Position Requirements This level of knowledge is typically achieved through a formal education in physics, applied physics
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experimentalists, modelers, and data scientists Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Materials Science, Chemical Engineering, Chemistry, or a related field
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Recent (within the last five years) or soon-to-be completed Ph.D. in Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry, or related field with zero to three years of experience
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math, HPC, signal processing, computational physics and materials science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of
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in the past 5 years or soon-to-be completed in Geoscience, Physics, Chemistry, Materials/Mechanical/Chemical Engineering, or a related field. Experience and knowledge in one or more of the following
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Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering or materials science (those with other degrees but have similar skills to those
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The Chemical Sciences and Engineering Division is seeking a highly qualified and motivated postdoctoral researcher to join our team in the area of light-matter interactions, with a particular focus
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partners to integrate findings into system-scale designs. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemical Engineering, Materials Science