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Field
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skills. Particularly meritorious is documented expertise in: Modeling and simulation of physical systems, Deep learning with applications in robotics, in particular field robotics, and Control and motion
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
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learning by 2028. Our strategic research purpose is to create life-changing and world-leading research for the wellbeing of our people, place and planet. About the Fellowship: Established in 2025 by the Vice
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of generative AI, deep learning, and inverse problems. For Grade 7, the successful applicant is not required to have post-qualification research experience, but will hold or be close to completion of a relevant
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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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learning, multimodal AI, and vision language models Implement and evaluate deep learning models and algorithms for research projects Process and manage large scale datasets for training and evaluation Write