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to inform process improvement. Familiarity with enterprise-supported IT tools and service models. Knowledge of documentation and governance best practices. Experience with project scoping, implementation, and
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disparities research. Experience working with large-scale datasets. Familiarity with community-based participatory research (CBPR) models and tribal IRB protocols. About the Department The University
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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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will be working on MR spectroscopy in mouse models of creatine deficiency. Responsibilities: • Assist PI with animal preparation for scanning (15%) • Assist PI with data acquisition on the 16.4T animal
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to collaborate with labs with expertise in molecular modeling, data science and analytics and structural biology to further both their project and career goals. As we are broadly pursuing how to translate
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, budget and execute plans to enhance current infrastructure, resources, and operational models to support ingredient and food discovery, food product development, pilotscale production, product testing, and
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classes taught at the University of Minnesota in 1884. We are leaders in community-based participatory research to develop community-based programs and educational models. We are dedicated to increasing
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review of protocols and procedures; participates in continuing education. Precept students from diverse backgrounds and professions to help develop a strong integrated educational model. Practice
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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the pathologic mechanisms for Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) using cellular and transgenic mouse models. The candidate will assist the Principal Investigator by performing duties related