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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 26 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory experience in imaging would be a benefit Highly
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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Intelligence (AI) such as computer vision, navigation and planning. Some of your key responsibilities include: Developing software that can be deployed to UAVs. Carrying out research relevant to the above, in
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future job openings.More information can be found here . Department: Department of Computer Science Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic
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supervision of Prof. Raf Berkvens and Dr. Thomas Janssen as a member of the IDLab research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab
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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
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speed. We are working on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for
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. These connections create unique opportunities to develop and apply AI-driven approaches to protein engineering, from fundamental discovery through to therapeutic translation. Envisioned by Dr. Michael