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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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scientific datasets. Integrate cloud platforms, high-performance computing resources, and collaborate with infrastructure teams employing MLOps tools for scalable experimentation and deployment. Document and
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, formatting, and editing technical sections of reports and works for dissemination Completing administrative tasks for IEL projects or operations Performing other related work as needed Additional
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of data, and drafting presentations on research findings. Responsibilities Performs a variety of analyses of neuroimaging (functional and structural MRI, high-density EEG) data as part of psychiatric and
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collection and preliminary analysis alongside a team of researchers. Responsibilities: This job provides support in a laboratory environment performing basic laboratory techniques, research, and analysis under
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components of key US cross-agency data and AI for Science efforts and initiatives. We seek a candidate with specialized knowledge developing scalable and robust computer systems, working with high performance
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high-performance or cloud computing (Slurm, AWS, GCP). Technical Knowledge or Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit-learn, and
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this research both independently and in collaboration with Booth Faculty in the Roman Family Center for Decision Research (RF-CDR), with particular encouragement to advance high quality, cutting-edge experimental