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, cellular, and biochemical experiments. Utilize animal models to study retinal biology and disease processes. Collect, analyze, and interpret experimental data to support scientific discovery. Scientific
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engineering, and data science, you will contribute to high-impact translational studies integrated within innovative clinical trials. This position is fully grant funded and offers exceptional opportunities
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/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex
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efforts. Conduct epidemiologic and biostatistical analyses using cancer registry, claims, EHR, and other real-world data sources. Apply advanced quantitative methods including causal inference, longitudinal
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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applicants from diverse scientific backgrounds. Individuals with expertise in one or more of the following areas are especially encouraged to apply: RNA biology and epitranscriptomics Gene regulation and
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infectious disease modeling, network science, public health, or population dynamics Ideal for candidates who: Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
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of a laboratory notebook and/or other comparable records of research activity, which remains the property of Duke University upon termination Adherence to University standards regarding use of isotopes