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cathode material synthesis for lithium-ion and sodium batteries. The selected individual will work under supervision and will assist the Lead PI on developing experimental methods and techniques
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for a predoctoral/postdoctoral researcher position in research data management. Position Overview The candidate will manage and coordinate data activities across ESRA. You will work closely with
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kinetics for molten salt systems Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, peer-reviewed
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without constant direction in the performance of routine tasks. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Considerable: Experience in optical spectroscopy
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seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
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opportunity to contribute to cutting-edge research in data management and AI technologies. Key Responsibilities: Develop and scale data infrastructure for AI applications on supercomputing systems Work
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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associated with rules of origin, labor value content, and customs valuation of US imports in these industries. Your work will contribute to the understanding of sustainable and efficient transportation and
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position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems. The postdoc will work on multimodal data management