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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25
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inline control system based on Machine learning and simulation models. Conduct experimental studies to validate robotic coordination algorithms, optimized processes, and printing performance. Collaborate
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not yet competitive for 5-year clinician scientist fellowships. This post is designed for applicants with a research interest in machine learning or data science approaches for patient stratification
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of MAE machine shops as needed. Support for the MAE Research Machine Shop with projects and prototype fabrication may be required. Other duties may be assigned as necessary. Minimum Education Required
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science
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to work effectively with a team of scientists and students Desired Qualifications* Experience with machine learning/deep learning and computer vision techniques Experience in medical image analysis of 2D
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Institute, research in the Dey Laboratory focuses on automated derivation of imaging measures from noninvasive cardiac image data, clinical implementation of novel automated computer processing algorithms
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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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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. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret quantitative image data and generate biological insights. Experience in