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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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, economics, or a related field. Minimum Requirements PhD in epidemiology, veterinary medicine, public health, data science, statistics, economics, or a related field. Strong quantitative and statistical skills
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studies. Strong statistical skills in causal inference and the ability to manage various sources of bias are essential. The ideal candidate will also have experience in both aging and environmental
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large cohort studies. Strong statistical skills in causal inference and the ability to manage various sources of bias are essential. The ideal candidate will also have experience in both aging and
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informatics, medical imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics
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imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics, mathematics, data
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datasets. Conducting extensive independent statistical and spatial analyses to support research objectives. Drafting grant proposals and contributing to the development of new research proposals
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to applicants with in-depth data processing and statistical expertise (e.g., experience with R software, data aggregation, and multi-level mixed effects modeling). Required Application Materials Applicants should
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and Engineering (CSE), Statistics and Probability (STT), and Counseling, Educational Psychology, and Special Education (CEPSE) to identify a tenure system scholar in postsecondary Computing Education
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desirable. Preference will be given to applicants with in-depth data processing and statistical expertise (e.g., experience with R software, data aggregation, and multi-level mixed effects modeling). Required