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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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the following research areas: Artificial Intelligence and Machine Learning Computer Vision Algorithms Circuits and Systems Programming Languages & Software Engineering Only shortlisted candidates will
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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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type (e.g., fake news, clickbait, and spam) and data modality (e.g., text, vision, and tabular data), which requires automated general-purpose debunking systems. (3) Effective misinformation mitigation
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or interest in at least one of the following research areas: Artificial Intelligence and Machine Learning Computer Vision Econometrics Causal Analytics Programming Languages & Software Engineering Only
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implementations would be advantageous. Understanding and awareness of software engineering and data science best practices. Understanding machine learning concepts, including NLP, computer vision, and reinforcement
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publications. • Proficiency with LiDAR or computer vision, including open-source frameworks and algorithms for 3D scene reconstruction. • Experience in Python programming (At least one year of experience