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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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validation of the models, quantitative data analysis, and preparation of results for progress reports, presentations, and publications Choose Duke. Duke Surgery is #1 in NIH Grant Funding. We
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opportunities to contribute to data analysis, manuscripts, presentations at local and national conferences, and grant applications, all of which are built in and expected to grow over time. Be You. Key
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include collaborating on the development of research questions, data collection and analysis, manuscript and grant preparation, and the supervision of students and research assistants. The position will
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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
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, molecular biology, pharmacology, and/or a related field. Experience with cell culture, mouse models, and biochemistry/molecular biology is required. Familiarity with gene sequencing techniques/data analysis
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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sequencing data analysis is preferred. The ideal candidate is detail-oriented, organized, and thrives in a collaborative, fast-paced environment. Key Responsibilities · Design and execute in vivo and in vitro
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initiative goals. • Designing and overseeing data governance, reporting, monitoring, and stewardship processes that enable secure and effective use of cross-sector data. • Developing conceptual frameworks
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simulations and data analysis. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience