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on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
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deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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RNA sequencing (scRNA-seq) data analysis. Previous hands-on experience with cell culture techniques. Experience designing and conducting independent scientific research. Strong analytical, problem
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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analyze data related to funded programs; maintain research records; communicate research activities through reports, manuscripts, abstracts, and presentations; attend research group meetings and contribute
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career goals Curriculum vitae Contact information for three references Representative publications or preprints, if available Review of applications will begin immediately and continue until the positions
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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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qualitative, quantitative, and mixed-methods research. Contribute to federally funded and investigator-initiated research projects. Analyze data and prepare manuscripts for peer-reviewed journals. Assist with