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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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computational science expertise. The ALCF has an opening for a postdoctoral position in data management targeting AI applications at scale. The successful candidate will join the AL/ML group, a vibrant
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-completed PhD (typically completed within the last 0-5 years) in chemical engineering, environmental engineering, or similar degree. Experience with data collection, processing, analysis, and presentation
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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for electro-optic modeling Desirable Skills Data analysis using Python Experience with autonomous or AI-assisted synthesis workflows Familiarity with quantum transduction or quantum information science
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pipelines and visualization dashboards to communicate results effectively. Familiarity with geospatial data analysis and methods for extracting insights from unstructured data. Job Family Postdoctoral Job
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research. Responsibilities : Develop and apply machine learning and data-driven methods for the analysis and interpretation of synchrotron X-ray scattering data, including diffraction and total scattering
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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knowledge in using HPC systems for visualization and analysis Technical knowledge of large, dynamical systems (preferably the atmosphere) Knowledge and experience in writing scientific code Skills in clear