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the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward mobility ; racial disparities; the role of neighborhoods, social capital
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, Computer Science, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 4 hours ago
-linear optics, atoms and molecules in strong fields, atomic and molecular astrophysics, quantum information and quantum simulations, molecular astrophysics and laboratory cosmology. Applicants should state
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-dimensional omics (transcriptomics, proteomics), or comparable large, heterogeneous biomedical data Substantial experience in natural language processing, large language models, information extraction, or text
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, and large-scale, AI-ready data resources. As a Department of Energy (DOE ) Office of Science user facility supported by the Biological and Environmental Research (BER ) program, JGI advances BER’s
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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funding. Develop and apply analytical pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studies to identify biological
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of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their