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Closing date 30 Jun 2027 View more categories View less categories Academic Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Other Academic Contract Type Permanent Hours
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candidate with a strong background in robotics, computer vision, or machine learning who is passionate about developing intelligent robotic systems and translating scientific concepts into working
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 12 days ago
Competitive Closing date 30 Jun 2027 View more categories View less categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences Job Type
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the university's leading disciplines such as information and communication engineering, computer science and technology, cyberspace security, and artificial intelligence, focusing on cutting-edge
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 12 days ago
ecosystem, and act as a strategic think tank for the public and private sectors. The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our
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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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is enthusiastic about developing algorithms and software for data-based modelling of biological systems. The position suits someone with training in computer science, scientific computing or a related
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Engineering and Computer Science. The candidates are required to have, or be expected to receive, their doctoral degrees by the starting date at KIAS in relevant fields where computational methods
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National Center for Toxicological Research (NCTR) | Naidu Vari Palem, Andhra Pradesh | India | 28 days ago
utilizing various computer algorithms and artificial intelligence tools Participation in high-quality, high-impact research projects aimed at standardized method and methodology development leading to
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prevention, stroke rehabilitation, and chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI