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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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, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
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biomarker-based research focusing the complex interactions between human host factors (genetic traits, health status, etc.) and environmental exposures (especially air pollution) in order to understand how
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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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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
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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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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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closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have proficiency in statistical programming (e.g., R, SAS
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microenvironment and molecular oncology research in collaboration with Department of Medicine and Duke Cancer Institute investigators. Minimum Requirements: Min Degree Requirements: Ph.D. or
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passionate about advancing science and improving lives. As a Postdoctoral Associate in the laboratory of Dr. Vadim Arshavsky at the Albert Eye Research Institute , you will join a world-class research