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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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-edge technologies, including genetically engineered mouse models, patient-derived models, single-cell and spatial genomics, organoid systems, and preclinical therapeutic studies. Learn more about our
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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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manuscripts for publication in peer-reviewed journals. Prepare presentations for research conferences and prepare data for grant submission. Learn how to write fellowship grants. Train new personnel in the lab
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), 2) Immunology (flow cytometry) 3) Molecular biology techniques. The ideal candidate should be motivated, innovative, with strong problem-solving and interpersonal skills and excitement to learn new
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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