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related to stroke, thrombosis, adhesion, and cardiovascular fluid dynamics with some computational modeling. The position requires a doctoral (Ph.D.) degree in a scientific discipline by time of appointment
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SPECIFICS The Department of Materials Science and Engineering, in the College of Earth and Mineral Sciences is seeking a postdoctoral scholar. The final candidate will: o Develop phase-field models and
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of quantitative genetics, linear models, and multivariate statistics. The candidate should demonstrate a proven record of effectively working in teams and mentoring students. Abilities with bioinformatic analysis
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apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data. The postdoctoral fellow
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models Strong quantitative, imaging, or computational analysis skills BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance
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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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trial design, dose-finding methods, phase I/II trial designs, model-assisted or model-based trial designs, or oncology clinical trials. Prior publications or preprints in biostatistics, statistics
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, ICP-MS, TOC, or related analytical techniques Environmental nanotechnology Water and wastewater treatment processes Colloid and interface science Environmental fate and transport modeling Data analysis
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, CFD/FSI modeling, or pump hydraulic testing Proficiency with engineering software such as CAD (e.g. SolidWorks), CFD solvers (e.g., CONVERGE, ANSYS Fluent, ABAQUS), and FEM/FSI tools Strong critical
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mechanisms underlying neurodevelopmental disorders using mouse models. The research program in the Girirajan laboratory focuses on integrating family-based genetic studies with quantitative functional