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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area. Expertise in one or more areas such as deep learning, computer vision
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 hours ago
and fluid properties in the subsurface formations. Therefore, the objectives of this research project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision
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, School of Information, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision
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enabled embodied AI systems. Your competencies Prospective applicants for this postdoctoral should have the following qualifications: Ph. D. degree in data science, electrical engineering
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transportation engineering with a focus on active transportation safety and artificial intelligence (AI). This interdisciplinary role emphasizes developing and deploying AI tools—especially vision-based and
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. Candidates whose work sits at the intersection of CSD and engineering, robotics, industrial design, or computer science are strongly encouraged to apply regardless of their disciplinary training. Our
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Doctoral student in Risk and Safety of Heterogeneous Swarm Systems Login and apply Lund University, Faculty of Engineering, Aviation and Aeronautical Sciences Lund University was founded in 1666 and
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difference. For themselves, for us and for the markets of today and tomorrow. Call for applications for disciplines such as: electrical engineering, computer science, control systems, or related
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inresearching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research