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projects Prior experience in computer vision, image analysis, or machine learning Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch Prior
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intellectual and practical aspects of computer vision and robotics. We are seeking talented candidates with: ◾First or upper second class degree in Robotics/Computer Science/Cybernetics/Mechatronics/Mechanical
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
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Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking
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sensors, dedicated Image Signal Processors (ISPs) and software post-processing to implement computational photography [D21]. This thesis will explore ecodesign of smart vision systems as representative
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an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Artificial Intelligence, Computer Vision
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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computer vision and robotics, the WILLOW team has consistently produced high-quality research, resulting in publications in major journals and conferences. As part of the team, you will have access to a well