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captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods
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ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. Our team is seeking to hire a talented researcher in the area of computer vision and
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Job Description The successful candidate will work with Professor Mark Breese on Intelligent computer vision algorithms under a project on “Development of Cone Prism Camera Technology”. We seek a
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3D face modeling & simulation. The Senior Research Engineer will be responsible for the development of Computer Vision solutions, as well as planning, implementing, and management of GPU computing
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Job Description The successful candidates will contribute to research activities related to use of computer vision, machine learning, and analytics to construction safety. The candidate shall work
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Job Description The successful candidates will contribute to research activities related to developing computer vision systems to improve construction site safety. The candidates shall work under
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Job Description The successful candidates will contribute to research activities related to developing computer vision systems to improve construction site safety. The candidates shall work under
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and machine learning Deep understanding and rich hand-on experience in deep networks Good communication skills in English Background knowledge in computer vision and/or point cloud processing. Prior
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at least one of the following research areas: • Artificial Intelligence and Machine Learning • Computer Vision • Algorithms • Circuits and Systems • Programming Languages & Software
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate. We are seeking researchers to work on a computer vision project. The position is for one