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segmentation of eye images from raw smartphone photos/videos; (b) conduct analysis of eye images for refractive errors using machine learning approaches; (c) undertake investigation of deep learning methods
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Science, Artificial Intelligence, Electrical Engineering, or a closely related field. Demonstrated expertise in Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision
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Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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facility working with the Director, Brian Armstrong, Ph.D. This position is for someone who enjoys working with people and helping scientists to achieve their imaging goals. You will be required to teach and
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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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Apply Now Job Summary The position is for processing and analysis of medical images. Responsibilities* Process medical images Implement and evaluate networks for image segmentation Assist in
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on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design
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Coordinates efforts to support continual learning and leader development across acute care spaces Work collaboratively with the director of Imaging Centers on growth, partnership evaluation and service