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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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connect people or ideas that are not usually brought together? Finally, add something about your interests, motivations, or working style that we would not learn from your CV. Career development statement
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acquire new technical expertise as needed. Participate in clinical research efforts involving retrieval, processing, and molecular analysis of patient-derived specimens from prospective clinical trials
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, longitudinal follow-up, biospecimen and clinical data collection, EHR-based cohort development, physiologic data integration, machine learning analysis, and manuscript and grant development. Minimum Requirements
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environment. Must be able to manage multiple and rapidly changing priorities and learn new skills. Must be detail-oriented and well-organized and the ability to work in a team environment. Excellent verbal and
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and deliverables. Learn background/research methods of studies for which analysis is conducted with limited direction and supervision. Statistical analysis and database management. Conduct systematic
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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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growth. You will work alongside experienced mentors and contribute to impactful research. Learn more about Duke University’s competitive benefits package and resources designed to support your career
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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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with causal inference methods or machine learning approaches Demonstrated experience in scientific writing and publication Ideal for candidates who: Have recently completed (or are near completion of) a