674 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Nanyang Technological University
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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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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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 pursuing
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to support research project. The role will focus on ultrasonic tomographic
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Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
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Part-Time Lecturer is expected to teach this postgraduate course commencing in January 2026. This course will be offered to students taking NTU-TUM (ICD) MSc Programme with the objective to impart
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translate this understanding into disease alleviation and prevention. For more details, please view https://www.ntu.edu.sg/medicine/research/research-programmes/nutrition-metabolism-health We are seeking a
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the thermal catalysis and its
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly