164 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship positions at Nanyang Technological University
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A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
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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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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Senior Research Fellow (SRF
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: The Research Fellow will be in charge of modelling, simulation, and analysis for projects
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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Fellow to work on a MOE-funded project developing active boiling-based cooling solutions
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a research fellow to carry
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novel nanomaterials for next-generation optical and electronic applications, including integrated optical devices, sensors and actuators, and energy harvesting. For more details, please view https
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to join a
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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