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Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug Design, Applied Mathematics and Statistics - College of Engineering and Applied Sciences Location: Department
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-May-25 Location: Department of Applied Mathematics and Statistics - College of Engineering and Applied Sciences
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Lead Biostatistician Required Qualifications (as evidenced by an attached resume): Master’s degree (as evidenced by an attached resume) in Biostatistics, Statistics, or a related field. Five (5
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Lead Biostatistician Required Qualifications (as evidenced by an attached resume): Master’s degree (as evidenced by an attached resume) in Biostatistics, Statistics, or a related field. Five (5
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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and Tableau dashboards. Analyze data using statistical techniques to identify trends and insights. Maintain data integrity and accuracy within databases they access. Summarize results utilizing