116 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U" positions at National University of Singapore
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Undergraduate language program. CET program Daily office operations. Qualifications The candidate should possess a university degree, with at least 3 years of working experiences. Be proficient in Microsoft
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programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by the National University of Singapore (NUS
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knowledge-sharing initiatives Qualifications A Master’s or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field. Strong programming proficiency in Python and C
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PYP candidates are awarded a start-up grant package of either SGD 250,000 or SGD 750,000, depending on the demands of their research programme. They are also granted an additional SGD 250,000
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and discussing the ambition of your research programme A comprehensive CV with a complete list of publications, awards, grants, and courses taught A research statement with a three-year research plan
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expertise and contributions in one or more of the following areas will be viewed favourably: second language writing, EAP/ESP, genre-based approaches, science communication, workplace communication, corpus
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Programme Excellence • Contribute to the development and launch of new academic programmes, from ideation to implementation. • Collaborate with internal and external stakeholders, including the Ministry
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university. Strong communication skills in the English language Passionate in teaching electrical/computer engineering concepts and skills to the students. Proficient in multiple programming languages
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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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, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries