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and spatial profiling, and computational analysis to advance understanding of cancer and improve patient outcomes. You will have the opportunity to contribute to impactful research projects while
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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential
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. Support maintenance of the Duke Forest’s GIS database, including GPS data collection, producing spatially explicit management records, and performing basic cartography and spatial analysis tasks. Assist in
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Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally
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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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Defining the roles of m6A and RNA-binding proteins in brain development, neural function, and neurological disease Development of next-generation technologies for spatial epitranscriptomics Discovery
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Development of next-generation technologies for spatial epitranscriptomics Discovery of novel m6A readers, repelled proteins, and regulatory mechanisms controlling gene expression in cancer We welcome
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sequencing, and spatial transcriptomics. Be Bold. Qualifications: A PhD, MD, or MD/PhD in a biomedical sciences-related field is required, along with a peer-reviewed publication record. Experience in RNA
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, interdisciplinary environment where your creativity, curiosity, and commitment to community-engaged scholarship can thrive. You will contribute to research, data analysis, and communications efforts that advance