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-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python Command
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interpret multimodal research data. Utilize programming and data analysis tools such as MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods
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research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python, MATLAB, or similar analytical platforms. Create publication-quality figures, summaries
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Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python
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, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals
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research. Experience analyzing large secondary datasets, claims data, registry data, EHR data, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software
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electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python, or similar platforms. Record of peer-reviewed scientific publications. Other
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electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python, or similar platforms. Record of peer-reviewed scientific publications. Other
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clinical insight in collaboration with Department of Medicine and Duke Cancer Institute investigators. You will develop your research skills under faculty mentorship while contributing to
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cancer in collaboration with Department of Medicine and Duke Cancer Institute investigators. You will develop your research skills under faculty mentorship while contributing to collaborative cancer