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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee with expertise in radiochemistry, chemistry, chemical engineering, or a related field to support experimental
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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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The Chemical Sciences and Engineering Division (CSE) at Argonne National Laboratory invites applications for a Postdoctoral Appointee position focused on advanced battery materials research
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and engineers across Argonne, including the Materials Engineering Research Facilities (MERF) and the Argonne MXene Innovations (AMI) program, while collaborating with industrial and academic partners
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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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laboratories. The broader goal is to enable AI-driven materials discovery, autonomous synthesis, and the development of high-quality, reusable datasets that support adaptive experimentation and long-term
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to current MSR developers for use in developing molten salt fuel specifications. Develop novel and improved methods for measurements of molten salt properties and standardize procedures to ensure quality data
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conditions to fabricate membrane components with desired physics and ionic transport properties. As part of the Materials Engineering Research Facilities (MERF), the Nanocomposite Materials and Membrane
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engineering, or a related field. Strong programming skills in Python and experience developing research or production-quality machine learning software. Experience with machine learning or deep learning