343 molecular-modeling-or-molecular-dynamic-simulation positions at University of Minnesota
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activities on an ongoing basis and meticulous in reviewing copy, noting errors related to punctuation, spelling, accuracy, and word usage. This position reports to the Disability Resources Coordinator. As a
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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(IPv4/IPv6, OSPF, EIGRP, NAT, ACLs) o Packet Tracer, GNS3, or other lab simulation tools o Cisco Networking Academy (NetAcad) platform and integrating labs with LMS platforms such as Canvas o Building
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qualifications: Experience with high-strain-rate experimental techniques. Proficiency in numerical modeling (e.g., Abaqus, LS-DYNA, or similar). About the Department The Department of Aerospace Engineering and
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stratification dynamics. This person in this position will also assist with the development of a model focused on the production of methane by methanogens and degradation by methanotrophs. The postdoctoral
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9704PS Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Associate Director of Academic Resources is a dynamic and student-centered role that leads the development
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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to represent the University of Minnesota at recruitment fairs, conferences, and/or provide information sessions to various audiences. . The Graduate School is currently working in a hybrid work model (some time
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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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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