231 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at Nanyang Technological University
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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The School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University is a leading academic unit in physics, mathematics, chemistry and related interdisciplinary fields
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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experience with proposal writing, technology translation, and IP generation. Excellent communication and collaboration skills, able to work effectively in interdisciplinary and international teams; independent
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing
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students enrolled in the Master of Science in Blockchain programme, particularly those undertaking six-month capstone projects. Contribute to teaching, tutorials, or guest lectures in courses relevant
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graduate students. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiarity with machine learning and computer vision frameworks. Good written and