62 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" positions at Argonne
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; present findings internally and at external conferences; contribute to publications Collaboration Environment Work in close coordination with ML development teams across Argonne (including the Advanced
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Roman Space Telescope in the Cosmic Frontier. The Division is also engaged in physics preparations for the Electron-Ion Collider (EIC), the development of advanced accelerator technologies (such as the
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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on experiment progress, technique development, and new initiatives to peer reviewers and Q-NEXT program managers Position Requirements Completed Ph.D. within the last 0-5 years (or soon-to-be-completed) in
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We are seeking a highly motivated and adaptable postdoctoral researcher to join the Laboratory Directed Research and Development (LDRD) project FREEZE (Fundamental Research on Energy-Efficient Zonal
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI
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conducted by developing intelligent systems that can function as collaborative partners in the scientific process. Our group is pioneering the development of (1) generative AI models and agentic architectures
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and contribute to research and model development to enhance the resilience of domestic and global energy supply chains. Lead technical and policy analysis to inform decision-makers on manufacturing and
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design, advanced modeling and high-performance computing, mathematics and data analytics, AI/ML algorithm development, and accelerator operations Ability to model Argonne’s core values of impact, safety
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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful