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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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analysis. ATAC-seq analysis. 16S rRNA microbiome analysis. integrating multi-omics data. artificial intelligence (machine learning) applications. Project 2. ORBIT (anticipate approximately 25% time on
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responsibilities include advising graduate students and service commitments to the department, college, University, and the profession. Qualifications Required: PhD in data science, machine learning, artificial
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tools (e.g., artificial intelligence) to create efficient workflows for project management and reporting ● Demonstrated ability to effectively and efficiently manage up and across an organization