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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.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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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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university for campus ethnic diversity and the embracing of this ranking by RU-N leadership. At the same time, while RU-N’s graduation rate is high relative to what might be predicted from national norms from
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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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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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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
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. Strong written, verbal and presentation communication skills. Preferred Qualifications Doctoral degree. Demonstrated experience leveraging data analytics, artificial intelligence (AI), predictive modeling