80 application-forms-"https:"-"https:"-"Universidade-do-Minho" Postdoctoral positions at Argonne
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enable physics-informed AI agents that accelerate discovery in catalysis science. The successful candidate will focus on the development and application of machine learning and AI approaches to analyze
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. One is to support an effort to recycle graphite from Li-ion batteries to produce graphene and graphite for reuse in batteries or other applications. The other focus will be on valorizing waste products
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evaluate well-defined nanomaterials for catalytic and electrochemical applications Develop, implement, and optimize in situ electrochemical cells to probe liquid–solid interfaces under reaction conditions
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We invite applications for a postdoctoral position in the Functional Coatings Group in the Applied Materials Division at Argonne National Laboratory to conduct advanced research in energy storage. A
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contract is extended on a yearly basis. Application Materials - Please submit: CV and cover letter Name your documents using the following formats, e.g., “Firstname_Lastname_CV
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field
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photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in physics of colloidal systems. The postdoc is expected to conduct research
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We invite applications for a Postdoctoral Appointee position in the Separations and Bioprocessing Group within the Applied Materials Division at Argonne National Laboratory. The successful applicant
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evaluate advanced algorithms for applications such as secure and adaptive control, anomaly and attack detection, resilient decision-making, and AI-enabled operational support for highly distributed grids