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U.S. Department of Energy science and engineering research laboratory

Laboratory Director

Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)

The U.S. Argonne National Laboratory has proposed ChemGraph, which uses 13 benchmark tests to evaluate the value of Agent in the field of computational chemistry

Aclara Selected by the U.S. Department of Energy for Federal Funding to Advance AI-Driven Heavy Rare Earth Processing

CU, Infleqtion tapped to help build ‘world’s most powerful scientific platform’

Infleqtion Secures Three Genesis Mission Projects from U.S. Department of Energy

Software Engineer - AI Inference for Science

Argonne National Laboratory’s Argonne Leadership Computing Facility accelerates scientific discoveries and engineering breakthroughs through world-leading computing facilities and computational science expertise. The Software Engineer will develop and deploy scalable AI inference solutions integrated with scientific workflows, leveraging high-performance computing systems and AI accelerators. The role also involves collaborating with science application teams and contributing to broader scientific initiatives.

Postdoctoral Researcher - AI for Earth System Sciences

Argonne National Laboratory is a U.S. Department of Energy national laboratory focused on scientific research and innovation. The Postdoctoral Researcher will develop, evaluate, benchmark, and deploy AI foundation models for weather, hydrology, and other Earth system applications, with an emphasis on generative AI and subseasonal-to-seasonal forecasting. The role also involves collaborating with scientists and stakeholders, analyzing results, and preparing technical publications and documentation.

Postdoctoral Appointee - AI and Computational Biology for Low-Dose Radiation Research

UChicago Argonne, LLC is seeking a postdoctoral researcher to develop and apply AI and computational biology methods to study the molecular and cellular effects of low-dose ionizing radiation. The role integrates imaging, transcriptomic, and genomic data to characterize cellular responses and build predictive, interpretable models in collaboration with experimental researchers.

Graduate Research Intern - Chemical Sciences and Engineering

UChicago Argonne, LLC is hiring a full-time graduate student intern in its Chemical Sciences and Engineering division. The role focuses on multiscale modeling and machine-learning approaches for critical material extraction.

Graduate Research - CSE - Chiu, Shawn - 10.06.26

Postdoctoral Appointee - AI for Synchrotron Imaging

Argonne National Laboratory is a leading research facility seeking a Postdoctoral Appointee to join their Computational Science and Artificial Intelligence Group. The role focuses on developing learning-enabled imaging methods to analyze synchrotron datasets, collaborating with experts across various scientific domains.

Staff Scientist – Post-Training and Reinforcement Learning for AI for Science

Argonne National Laboratory is seeking a Staff Scientist in Post-Training and Reinforcement Learning for AI for Science to advance the next generation of foundation models for scientific discovery. The successful candidate will conduct research on improving the performance of large-scale AI models and develop workflows for training and post-training on supercomputers.

Staff Scientist – Agents for Science

Argonne National Laboratory is seeking a Staff Scientist – Agents for Science to help pioneer AI systems for scientific discovery. This role involves developing agentic AI systems that can interact with scientific data and workflows, contributing to innovative approaches in scientific research and collaboration.