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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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to an advanced Laboratory Directed Research and Development (LDRD) project, "Machine Learning Steered EXAFS Fitting for Autonomous XAS Analysis," aimed at revolutionizing real-time analysis of X-ray Absorption
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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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planning and business system report language report writing and in support of: Project budgeting trending analysis; Project costing; General ledger account reconciliation; Contract closeouts; Business
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sizing. Familiarity with practical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2. Experience creating and
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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internal and external assessments, causal analysis, critiques and surveillances. Participate in and potentially lead investigation and causal analysis teams. Review/approval of technical documents (e.g
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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