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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain
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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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mathematical model of a plane strain (“KGD”) hydraulic fracture propagating in a poroelastic medium. The duration of the research project is 6 months. This is a 50%-time (20 hours per week) appointment
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computing skills: knowledge of R and/or mPlus, longitudinal data analysis, structural equation modeling Evidence of ability to work as an independent scientist while collaborating with teams of peer
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consist of interfacing with team members, Foundation staff, and University partners. Hybrid Work Model: The University of Minnesota Foundation (UMF) operates under a hybrid work model, with the expectation
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development program that reflects the departmental residential curriculum model for residents. ● Review, develop, and implement lesson plans to facilitate student learning. ● Assist with the planning and
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) strategic use of model systems that provide the most powerful experimental access to important biological and medical problems. With our uniquely diverse expertise, these approaches allow us to build upon
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demonstrated publication record in peer-reviewed scientific journals, particularly in avian population ecology Excellent statistical skills, including experience writing Bayesian hierarchical population models
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education or instructional design within a STEM-related discipline. Background in business, practice management, or veterinary economics, particularly as they relate to affordable veterinary care models
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Health entities to co-develop educational resources and models to prevent Diabetes among middle aged women in diverse communities. Collaborate with schools, non-profits, and other partners to explore ways