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performance analysis, graph-driven deep neural networks, data-efficient machine learning, self-supervised learning, reinforcement learning, online learning, and meta-learning with applications
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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to the department, college, University, and the profession. Qualifications Required: PhD in data science, machine learning, artificial intelligence, computer science, bioinformatics, or a related agricultural
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research approaches: health and wellness promotion, a strong nursing workforce, lifespan health, AI/machine‑learning and informatics, population/global‑planetary health, and a just healthcare system
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Previous Job Job Title Research Assistant or PhD Candidate Research Assistant Next Job Apply for Job Job ID 369568 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time
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Engineering, and not for a specific vacancy. Applicants will compose a pool for future needs as they arise in the department. Qualifications Required qualifications: PhD or equivalent terminal degree in
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields
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) for the Zilverstand lab in the Department of Psychiatry and Behavioral Sciences. Anna Zilverstand, PhD, is an Assistant Professor in Psychiatry and the lab Principal Investigator. The lab is part of the University