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with experience and Yale postdoctoral guidelines, with full benefits. Postdoctoral Compensation Qualifications Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent
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degree). Strong background in one or more of the following: Computer Vision Machine Learning Artificial Intelligence Computational Behavioral Science Data Science Biomedical Engineering Computational
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Post-Doctoral Associate in the Center for Artificial Intelligence and Robotics (CAIR) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Aug 2026 View
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Post-Doctoral Associate in the Center for Artificial Intelligence and Robotics (CAIR) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 28 Oct 2026 View
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advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD in: Computer Science, Artificial Intelligence, Data Science or related fields (Computational Physics
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Post-Doctoral Associate in the Center for Artificial Intelligence and Robotics (CAIR) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Sep 2026 View
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focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include
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isolated and vulnerable populations. Candidates must possess a PhD in Artificial Intelligence, Computer Science, Mechanical Engineering, Electrical Engineering, Civil Engineering, Environmental
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 19 hours ago
02, 2021 Description The Computer Vision-Core Artificial Intelligence Research ( Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 19 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