83 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Minnesota
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: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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you learned about this program. For information about this position, please contact Dr. Mustafa al’Absi at malabsi@umn.edu The University of Minnesota is an equal opportunity educator and employer
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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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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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hydrology and computer science. Any previous success in leading and delivering academic deliverables of using machine learning in solving hydrological problems and experience in spurring interdisciplinary
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• PhD, DDS, DVM, JD, MD or equivalent is required. Preferred Qualifications • Experience with primary airway epithelial cell biology. • Experience with viral vector-based gene therapy for pulmonary
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, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental
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for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in
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: PhD in hearing science, psychology, linguistics, physiology, cognition, or engineering, or a related field. Experience conducting research with human participants. Experience in creating and analyzing