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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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The Sydney School of Health Sciences is a world leader in health science research and education. We collaborate with external partners and engage with real-world problems to anticipate the health issues
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering,will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with
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quantitative analyses of educational datasets using Bayesian hierarchical models and other statistical approaches. Apply cognitive diagnostic models (e.g., DINA) and psychometric models such as Item Response
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. The chosen candidate will collaborate with clinicians to drive impact from these models, and use them to benefit patient care. General Duties: Develop multi-modal statistical and machine learning methods
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advanced statistical methods to analyze complex datasets and interpret findings. ● Develop and validate statistical models that support scientific and clinical research objectives. ● Present
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advanced statistical methods to analyze complex datasets and interpret findings. ● Develop and validate statistical models that support scientific and clinical research objectives. ● Present
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
academic year. Minimum Education and Experience Requirements Ph.D. (or foreign equivalent) in statistics, mathematics, biostatistics, bioinformatics, computational biology, or a related field
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national and international statistical sources. This database will subsequently be analyzed for international publications and, in the case of Brazil, used to make comparisons between states, as
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-hyperaccumulating plant species across various environments. Analyze and integrate large-scale biological datasets using statistical and bioinformatics tools to support data interpretation and hypothesis development