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Field
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
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Employee discount programs Posting Summary The fellow will work with Dr. Greta Bushnell, Assistant Professor of Epidemiology at Rutgers School of Public Health and core member within the Center
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exposome. The project integrates analytical chemistry, exposomics, and epidemiological cohort research to identify and quantify emerging exposures and evaluate their potential impacts on maternal and child
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strong interests in system dynamics approaches to understanding drivers and causes of disease emergence, and deep interest in understanding zoonotic systems from the ecological, epidemiological, and
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Behavioral Neuroscience at Saint Louis University School of Medicine will collaborate closely with a multidisciplinary research team focused on investigating the epidemiology of suicide/self-harm, suicide
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
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exceed five years. Required Qualifications A recently completed PhD in epidemiology, nursing, public health, or a related quantitative discipline. A strong background in applied biostatistics and
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the Principal Investigator. PREFERRED QUALIFICATIONS: Strong understanding of epidemiologic concepts Formal training in biostatistics, epidemiology, or related quantitative field Experience managing and analyzing
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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working with mathematical and/or statistical models and/or AI. A strong interest in infectious disease epidemiology. Ability to collate and analyse data, interpret and present results to a high standard