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Position Description The Signal Inference, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with
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updates, SOP development, and other research operations as needed. · Participating in laboratory meetings and study team meetings. · Contributing to data summaries, basic statistical analyses, abstracts
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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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analyzing and interpreting statistical data will be preferred · Must possess the knowledge to use citation manager EndNote · Must be able to accurately translate research findings and relevant literature to a
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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• Background in applied statistics • Experience collaborating with organizations outside academia (industry, government, or NGOs) Professionally, the successful candidate should demonstrate: • Ability to work