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networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted
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. This position is supported by a newly NIH funded grant to study DNA repair by using cell and molecular approaches and animal models. The postdoc will design, organize and conduct specialized and advanced
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. This position is supported by a newly NIH funded grant to study DNA repair by using cell and molecular approaches and animal models. The postdocs will design, organize and conduct specialized and advanced
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, will analyze and interpret data, will publish results, will represent the university at conferences and meetings, and will develop curricular and instructional skillsets. Successful candidates should
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of Pharmacology & Physiology is an active research department with federally funded programs in neuroscience and development, cardiovascular pharmacology and integrative physiology, genomics, and oncology. It
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programs in neuroscience and development, cardiovascular pharmacology and integrative physiology, genomics, and oncology. It offers unique pre- and postdoctoral biomedical research training, teaches
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of independent research, will analyze and interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. Extensive professional
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interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. Extensive professional experience using R, Python or similar
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show
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; adaptnew procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze research data; keep a detailed notebook summarizing experiments and recording research data