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through early clinical development for both biologic and small molecule modalities. Management and mentorship of junior modeling scientists will be expected with an emphasis on support of the oncology
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discovery. A background in biochemistry is highly desirable. As part of the Applied Computing for Scientific Discovery Group (ACSD), you will develop software tools and applications to enable scientific
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fellow to join the 3D Stem Cell Biology Research Lab (https://www.hashinolab.com ) and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system
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protein conformations and complexes in solution. You will work with a team to develop portable instrumentation to enable high throughput SAXS sample handling that can work at other synchrotrons. Through
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in the position and outline skills and experience that directly relate to this position. Summary The newly established research lab of Dr. Herman Fung in the Department of Cell & Developmental Biology
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/17939/zijie-sun/ ) to investigate the roles of stem cells and stem cell niches in prostate development and tumorigenesis using “cutting-edge” in vivo models and advanced experimental approaches and
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that contributes to the development of early-onset colorectal cancer and are investigating the epigenetic and transcriptional regulation of this pathway. This is an outstanding opportunity for a very motivated and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
technology policies; apply their scientific, policy, and technical knowledge to the development of solutions to issues of importance to the DOE, and continue their education and involvement in areas
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track the appointment process for incoming fellows in the Resident Management System. Manage and develop fellowship orientation schedule working with PD to determine speakers and orientating events
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successful candidate, you will be: Developing liquid biopsy biomarkers for cancer diagnosis, prognosis, and therapy response prediction. Investigating the epigenetic basis of GI cancers, such as aberrant DNA