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Foundation Models, to the sPHENIX experiment Perform physics analysis using sPHENIX data Collaborate with physicists and computer scientists on publishing research findings Required Knowledge, Skills, and
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. Generate, curate, and augment training datasets using FEFF-based simulations and experimental data. Conduct beamline experiments to validate model predictions and integrate them into real-time analysis
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of quantum materials. * Demonstrated data analysis skills. * Proven ability to disseminate research results by writing manuscripts and giving academic presentations. Preferred Knowledge, Skills, and Abilities
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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measurements and to guide future experiments. In addition, this position will contribute to the development of reusable computational workflows, data products, and analysis approaches that support broader data
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systems process analysis. Required Knowledge, Skills, and Abilities: Candidates must be majoring in one of the following: Business/Finance, Computer Sciences, Math, Economics or Accounting. The ideal
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of large industrial process equipment and complex piping systems, or complex PLC-based data acquisition and SCADA systems, for chemical plants or cryogenic process plants. Work scope will include managing
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workflows, including adaptive, automated, or agent-based (agentic) workflows that integrate simulation, data analysis, and/or machine learning. Experience with computational workflows on large-scale HPC
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of processes against requirements, supporting the implementation of corrective action plans, analyzing performance data, performing supplier reviews and selections and incoming inspections, managing calibration
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technicians for system installations and root cause analysis. Trouble shoot communication issues. Support database setup, and trend monitoring for energy systems. Required Qualifications, Knowledge, Skills, and