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), along with detailed clinical and behavioral data, we are scaling up analytic efforts to answer fundamental questions about how grief unfolds over time—especially in older adults—and what differentiates
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of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a thorough investigation of background information pertinent
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purification and analytical techniques using NMR and Mass Spectrometry, and HPLC chiral separation. Analyze structure-activity relationships (SARs) and propose novel compounds and synthetic routes. Perform data
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to address cancer health disparities by integrating biological and behavioral aspects into their research. MENTORSBBOT mentors are all funded PIs with cancer- relevant extramural support. Mentors include PhDs
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for macromolecular complex assembly. Perform data collection using cryo-EM or X-ray crystallography techniques and determine structures with high resolution. Perform weekly experiments, data analysis, and data
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structural probing Analyze experimental data, interpret results, and contribute to manuscript preparation Present research findings at lab meetings, institutional seminars, and scientific conferences Mentor
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational
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organization, synthesis and analysis of research data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principal investigator and research team