147 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship research jobs at Nanyang Technological University
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, including organizing research activities, managing projects, and contributing to grant proposals. Job Requirements: PhD degree in communication, psychology, sociology, Human-Computer Interaction (HCI
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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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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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independently and as part of a team Experience with machine learning and AI applications in engineering is advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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teamwork and verbal, written communication skills In-depth knowledge of computer vision and deep learning Demonstrated capability to conduct innovative research We regret that only shortlisted candidates
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reclamation pilot-scale and lab-scale systems. Conduct membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To independently undertake research in data privacy, machine learning, and applied
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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of the School of Electrical and Electronic Engineering in the areas of control and optimization, sensing and information processing, machine learning, cyber physical systems, robotics and automation, power
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations