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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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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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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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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
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biomedicine, communications, controls, data science, high-performance computing, imaging, information retrieval, machine learning, neuroscience, robotics, signal processing, and remote sensing. UD’s Data
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and image generation based on deep learning. The aim is to study techniques for handling multimodal data by integrating visual information (2D and 3D) with textual or tabular metadata. This integration