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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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Experience with image processing or analysis techniques, including segmentation, registration, or synthesis Desirable Application/interview Familiarity with AI and machine learning methods, particularly deep
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) Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element
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) Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element
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with cardiovascular or fetal imaging data. • Knowledge of machine learning model development, validation, and clinical translation. • Experience working with DICOM data, PACS systems, and 3D
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with animal husbandry, rodent surgery, immunohistochemistry techniques, machine learning tools for image analysis, and MATLAB coding. The ideal candidate will have excellent organizational and
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). Experience in machine learning/deep learning as well as classical image processing techniques is essential. A proven track record of high-quality scientific publications and demonstrated evidence of working in
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Engineering, Communication Engineering, Computer/Data Science, Mathematics or equivalents; – background in artificial intelligence, image/signal processing, remote sensing, passive/active sensors. Where