2,517 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Michigan
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supervision Competency in computer programs, telephone etiquette, and other office procedures Ability to work in a high volume, fast paced clinic Excellent customer service skills Ability to work over-time
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, throughout the course of employment. Learn more about the work modes . Additional Information We, the staff and faculty of the U-M Cardiovascular Center (CVC) team, are committed to advancing medicine and
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seeking a Research Engineer to support multiple funded projects focused on physically grounded human-machine collaborative systems. These projects advance research in computer vision, machine learning
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Criminology, Law, and Criminal Justice related field. Computer skills. Prior experience with Canvas. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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development of transparent, closed-loop control system for individualized diuretic closing including the validation and advancement of machine-learning and control algorithms, building production-oriented
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, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be
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academic medical system (#1 in Michigan), over 550 radiation-producing machines, occupational dosimetry for over 4,300 employees, and over 1,200 lasers. The position provides technical expertise and guidance
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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and intercollegiate athletics. Recruiting experience and knowledge. Must possess excellent communication and organization skills. Must possess excellent computer and social media skills. Must be able
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Intelligence (AI), Machine Learning (ML), and Data Science (DS) into cybersecurity education. The project builds full-cycle labs that move from attack/data generation to feature engineering, model development