326 computer-science-programming-languages-"the"-"U"-"O.P"-"U.S"-"UCL" positions in Singapore
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the course IN6238 Human-AI Interaction. The course is offered in the Wee Kim Wee School of Communication and Information's Master of Science in Information Systems (MSIS) programme. IN6283 examines how humans
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Engineering, Artificial Intelligence, Computer Science or equivalent. Strong background in Deep Learning, Generative Models and Large Language Models. Strong publication record in top conferences/journals
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programmes. Ph.D. students can specialized in any of our computer science research areas, or in the Information Systems & Management research area. Our Doctor of Engineering (EngD) programme , a Professional
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-on experience with development of web-based user interface Knowledge of battery management systems (BMS) Proficiency in programming languages such as Matlab, Python, and Javascript Excellent verbal and written
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relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in Computer Science, or a related discipline; Have a solid foundation in Machine
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environmental challenges. The ASE integrates Earth and environmental sciences to build an understanding of our planet and environment and to address key issues of environmental sustainability and its impact on
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involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably Master’s degree in Computer Science
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are internationally competitive, with benefits including subsidized housing. The teaching load is 2:1 (one or two courses per semester, totaling three per academic year). Programme Information The Art History Minor at
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Title: Main Study of CORE 4 Research Programme: Education Trend Studies of Designated Subject Domain (DSD) Pedagogies in Singapore’s Primary and Secondary Classrooms (C4MS). Project Introduction: The Core
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, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries