170 computer-science-programming-languages-"the"-"U"-"O.P" positions at Nanyang Technological University
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, dynamics, robot modelling and control engineering Experience in mobile manipulators and industrial robots Programming languages/libraries: MATLAB, C++, Python, OpenCV Competent in mechanical design Entry
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field At least 2 years of relevant experience in a similar role or adequate technical hands-on experience in building mechatronic systems Familiarity with C/C++ programming on microcontroller platform
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training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Possess Master/Bachelor’s in Computer Science, or a related discipline
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, or Full Professor. Promoting the strategic development of NTU Philosophy, we are hiring for multiple positions. The rank and areas of specialization are open for all positions. NTU’s philosophy programme
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understanding of robotics fundamentals including kinematics, dynamics, control systems, and mechatronics. Good written and oral communication skills Proficiency in programming languages such as Python, C, C
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basis. Expertise in health informatics, particularly experience working with electronic health records (EHRs). Experience of analyzing large-scale longitudinal population data. Proficiency in programming
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, Computational Linguistics, or a related field. Strong foundation in multi-agent systems, NLP and python programming. Strong background in Mathematics and modelling. Good English writing and communication skills
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in Nanyang Business School (NBS) Ensure that all programme and department operations run seamlessly. Manage the implementation of Learning Management System changes and maintenance routines as agreed
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software libraries Model performance evaluation Key Requirements: Bachelor’s degree in Computer Science or related field Familiarity with Computer Vision Good written and oral communication skills
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and practice, and create more resilient and inclusive cities. The program builds upon an interdisciplinary approach, combining geospatial modelling of urban environments and empirical studies of urban