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partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer
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/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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electronics, computer vision, audio signal processing, and Human–Computer Interaction (HCI), with specific focus on gesture recognition and multimodal interfaces based on audio signals. These activities will
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Bioinformatics / Science Cognitive Science Data Science / Data Science Quantum Machine Learning Computational Science and Engineering / Natural Language Processing Computer Science / Learning at Scale Data
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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning