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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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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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Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/ ) in the C.S. Mott Department of Public Health at Michigan
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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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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
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, gamma spectroscopy, alpha spectroscopy, and liquid scintillation counting. Skillful ability to analyze data using software or tools such as Excel, statistical software, or chromatography data systems