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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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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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, optimization, algorithms, computer vision, artificial intelligence, data science, software development, drone development or embedded system development. Ability to work independently as well as in teams and
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research projects. The candidate will do research on 3D Human Reconstruction, Neural Representations and Rendering for Humans, and Animatable Humans. The goal is to publish in top-tier computer vision and
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-fully supervised learning Result motivated Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus The successful incumbent will be
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solutions cover computer vision, NLP and general ML, such as object detection for autonomous vehicles, question-answering AI for education chatbots, and fraud detection for insurance. We are expanding our
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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 Engineering Only shortlisted
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junior researchers in the team. Qualifications A PhD degree in Computer Science or related field. Evidence of good research in computer vision and deep learning. A good publication record. Mentoring