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of the neurocognitive effects of tobacco use, and (3) behavioral interventions for tobacco cessation. The ideal candidate will have a strong background in biostatistics, epidemiology, psychology, or cognitive
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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or economics), epidemiology, biostatistics, statistics, data science, applied mathematics, or related field Other skills & competencies: Data management and cleaning and conducting descriptive analyses
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, epidemiology, outcomes research, pharmacy, pharmacy administration, medicine). City: Horsham State: PA Location: Piscataway (RBHS) Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State
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through other channels. Person Specification: PhD in a discipline with a quantitative background, including statistics, data science, health science, epidemiology or a related areas. Experience in data
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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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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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disease epidemiology and social epidemiology. The individual who fills this position will work directly with Dr. Sanyu Mojola at OPR, Princeton University; as well as key collaborators at the University
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2