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issued to sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment).The appointment involves substantially full-time research
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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
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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
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able to manage multiple and rapidly changing priorities and have ability to quickly learn new skills. Must be detail-oriented, well organized with strong communication skills and ability to work in an
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu