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with hallmark PD pathology, using machine-learning approaches to quantify neuroinflammatory and protein pathologies and spatial transcriptomics to characterise their molecular and spatial relationships
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with multidisciplinary teams to support study execution, protocol compliance, image analysis, sonographer training, and data submission activities that drive meaningful scientific discoveries. What
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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. Position Overview The successful candidate will develop and apply advanced computational and machine learning methods to large-scale genomic, clinical, and imaging datasets, working across one or more of the
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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therapeutic targets. Develops and applies machine learning and statistical modeling approaches for biomarker discovery, classification, prediction, and patient stratification. Develops algorithms and
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, throughout the course of employment. Learn more about the work modes . Work Schedule Dayshift 7:45a to 4:45pm. Days vary and some weekends 36 hours per week Work Locations Rogel Cancer Center/Breast Imaging
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are looking for candidates interested in developing new machine learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will
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frameworks. Essential Application/interview Experience of working with image, remote sensing or other spatial data. Essential Application/interview Experience of applying machine learning methods to real-world
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development, HIPAA, accessibility, or human-centered design. AI, machine learning, large language models Why Join Michigan Medicine? Michigan Medicine is one of the largest health care complexes in the world