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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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, or real-time data processing for large experimental datasets. Familiarity with multimodal data integration and scientific data management frameworks. Interest in the development of AI-guided or autonomous
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environments. Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other regular channels. Position
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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Integrate models across platforms and workflows; manage inputs/outputs and ensure reproducibility Analyze simulation and experimental datasets; extract insights and quantify sensitivities and uncertainties
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presence at the Argonne campus in Lemont, Illinois. Preferred Qualifications: Experience in interdisciplinary collaborative research. Knowledge of large scientific code management and optimization. Job
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, 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 condensed matter physics
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make presentations at scientific meetings Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other
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management through status updates, technical research reports, project presentations, and other regular channels. Develop innovative research directions to advance molten salt science. Position Requirements
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(HPC) environments and large-scale data management. Experience with version control (e.g., Git) and collaborative software development practices. Experience with real-time analysis and instrument control