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Strong data analysis skills: familiarity with modeling and/or data-science tools is beneficial but not required Excellent written and verbal communication skills and the ability to work effectively in a
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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candidate is also expected to aid in the design, analysis, and interpretation of experiments as well as present findings to the community through publications and presentations. Position Requirements Recent
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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on the LLM/agent and HCI layers of IDEAS, including: Mixed-initiative AI assistants for visualization and analysis, Natural interaction paradigms for scientific workflows, Integration of agentic systems with
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of Cyanobacteria and carrying out experiments with those bacteria, as well as flow cytometric analysis. Key Responsibilities: Develop and optimize extraction methods for recovering ultra-long, high molecular weight
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simulation or analysis tools such as OpenDSS or similar platforms. Experience with real-time simulation, co-simulation, digital twins, hardware-in-the-loop, or testbed-based validation. Experience working with
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, the ALCF is studying the application of these techniques to a variety of our science applications, including but not limited to: Computational Chemistry, Plasma Physics, High Energy Physics, analysis
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well as university partners on coastal methods and validation strategies. Mentor summer students on data analysis and visualization workflows. Publish in peer-reviewed journals, present at scientific conferences, and
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, reconstruction, and analysis workflows Experience working in collaborative, multidisciplinary research environments Applicants should submit Curriculum vitae Brief description of research interests Three letters