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Advance the theoretical foundations of machine learning, publish in premier venues and help shape the next generation of AI research. · Annual salary package: $104,481 (ACA Level A.4) - $112,550
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connected to the university's M-TRAC translational research program. Required Qualifications* PhD in Electrical & Computer Engineering 1 or more years of relevant postdoctoral research experience Modes
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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equipment. The lab is in the Departments of Psychology and Medical Imaging. The research will explore questions related to expertise (e.g., comparing students to radiologists when searching for signs
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level, although applications at all ranks (Assistant, Associate, and Full Professor) will be considered. We welcome applicants who use AI and machine learning to drive the discovery and analysis
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level, although applications at all ranks (Assistant, Associate, and Full Professor) will be considered. We welcome applicants who use AI and machine learning to drive the discovery and analysis
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optimize experimental protocols, analyze complex datasets, and contribute to scholarly publications. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and
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, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision, manipulation and grasping, and
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, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment