2,513 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Michigan
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molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
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an intensive speech-language therapy approach that combines individual, group, and teach-based learning, exemplifying the Life Participation Approach to Aphasia. Required Qualifications* Master's degree in
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. This position reports to the Director of the Early Childhood Education Center. Responsibilities* Not listed in priority order: Provide a safe, healthy learning environment for children birth to twelve years which
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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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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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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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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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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