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development to support program growth Maintain laboratory instruments, equipment, and facilities in support of research operations Build and maintain active engagement with external academic and scientific
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experimental methods, and high-quality research outcomes. Key Responsibilities Plan and execute radiochemical laboratory experiments involving radiotracers, irradiated targets and materials, and aqueous
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Experience with developing AI/ML Deep Learning models, working with agentic workflows, model training and other emerging AI techniques and tools Programming experience in Python, C++, or similar scientific
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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, assemble, operate, and troubleshoot bench- and pilot-scale chemical process equipment Plan and execute experiments related to separation processes, fluid handling, and process intensification Collect
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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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. We seek a highly motivated candidate to contribute to an interdisciplinary research effort at the intersection of materials science, laboratory automation, and artificial intelligence. This position
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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place in a collaborative, mission-driven research environment that values technical creativity, rigorous engineering, scientific impact, and teamwork. The group works on practical AI systems that connect
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scientific programming languages is a plus. Excellent oral and written communication skills. Experience with automation, control, and instrument infrastructure. Ability to model Argonne’s core values of impact