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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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profile in child neurodevelopmental and perinatal research while contributing to major UK and international studies addressing child development, mental health and neurological outcomes. If you are still
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ESTHER is a 1D Lagrangian code for radiation-matter interaction that studies the evolution of materials transitioning from the solid phase to the plasma phase under the effect of an intense radiation pulse
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play a key role in ongoing clinical trial on exercise research and developing studies investigating the interplay between longitudinal cognitive outcomes, neuroimaging and vascular risk factors using US
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Port Macquarie, Coffs Harbour, Wagga Wagga, Albury and Griffith. The Opportunity This will be in a research-focused position working within the Collaboration for Cancer Outcomes, Research and Evaluation
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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program focused on patient centered outcomes research in cancer control. The position is structured to support training and research in the area of patient-centered outcomes research, with an emphasis
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and protein engineering methodologies to design novel combination immunotherapy and radiation treatments with the goal of enhancing clinical outcomes for patients diagnosed with metastatic cancer
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publications per year) Support the PI in grant development and submission Supervise graduate and undergraduate research activities related to human data acquisition, data quality control, data analysis, result
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the mentorship of Dr. Ying Wang in the Department of Biomedical Informatics, the scholar will investigate the genetic architecture of disease onset, progression, multimorbidity, and clinical outcomes using large