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principles and construct instrumentation. Knowledge – Skills – Abilities Required knowledge: optics, light safety, mathematics, statistics, documentation, records management, data utilization, complex problem
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expertise in respiratory physiology and pertinent cellular and/or molecular mechanisms. Technical expertise in computer programming languages including R, Phython, and LabView are welcomed. Demonstrated
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. Participate in discovery projects. Coordinate research study activities; lead and manage one’s own projects. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports
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analysis of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principle investigator and research staff in which you will evaluate
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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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to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations to reveal the mechanical stimuli associated
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of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principle investigator and research staff in which you will evaluate/interpret
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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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of data and findings. Prepare scientific reports, outcome findings and scientific manuscripts. Participate in meetings with principle investigator and research staff in which you will evaluate/interpret
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projects. Coordinate research study activities; lead and manage projects. Apply for fellowships, other funding opportunities appropriate to the position Oversee organization, synthesis and analysis of data