523 computer-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Nanyang Technological University
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/re search
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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to brand awareness and positioning, marketing of assigned programmes, and achieving the enrolment goals of the UG programme. He/She will collaborate closely with the other team members by supporting
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in