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curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu’s research and recent publications can be found on his lab website: https
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: www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new environmental pollutants, nanoplastics, and environmental mixtures
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: www.zhulab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new environmental pollutants, nanoplastics, and environmental mixtures
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predictions. Position Status Full Time Posting Number 26FA0747 Posting Open Date 09/04/2026 Posting Close Date 10/05/2026 Qualifications Minimum Education and Experience Ph.D. in life sciences, chemical
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documented in a September 2014 report by The Education Trust (http://edtrust.org/resource/leading-the-way-in-diversity-and-degrees-rutgers-university-newark/), the achievement of such high graduation rates
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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within the School of Engineering. Among the key duties of the position are the following: Leverages advanced AI/ML to build predictive models for the environmental impacts of hydroclimate extremes, such as
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learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related