48 condition-monitoring-machine-learning Fellowship positions at University of Michigan
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Researching and developing novel machine learning architectures for integration across
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detailing the status of ongoing work, using spreadsheets, word processing, and graphics computer programs, participating in lab meetings, and accomplishing general laboratory tasks and other related tasks as
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learning, teaching, and scholarship through application of technologies and knowledge of the latest digital research methods with diverse teams. You will join a network of functional and subject experts
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Bioinformatics, as well as the Departments of Biostatistics & Biomedical Engineering, University of Michigan is seeking a postdoctoral fellow for bioinformatics problems involving quantum machine learning and
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of reagents and supplies; optimize ordering and project scheduling to meet service expectations. Monitor instrument performance, oversee routine maintenance, and coordinate vendor support. Uphold SOPs, aseptic
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of faculty recruits regardless of marital status or sexual orientation. To learn more about the great benefits the University of Michigan provides, please visit https://hr.umich.edu/benefits-wellness
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. Establish xenograft and orthotopic tumor models. Develop tumorigenic models using GEMMs (Genetically Engineered Mouse Models). Monitor mice for tumor development and other experimental endpoints. Administer
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great strides in better understanding these common, debilitating musculoskeletal conditions. There is strong potential for development in technical expertise in addition to improvements in communication