462 computer-"https:" "https:" "https:" "https:" "Univ" uni jobs at Nanyang Technological University
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compliance requirements. Job Requirements: Master’s in Computer Science, Electrical Engineering, or related fields. Experience with cloud platforms, microservices architecture, and real-time data pipelines
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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LLM- Assisted Computational Materials Science as part of the MSc in Chemical Engineering Programme. Your responsibilities would include, but not be limited to, the following: Development, coordination
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: Collect, scrape, and clean large datasets from online platforms and media sources. Conduct computational analysis of disinformation and propaganda networks. Develop and apply data visualization techniques
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the course, IN6242 Deep Learning Foundations. The course is offered in the Wee Kim Wee School of Communication and Information's MSc in Information Systems (MSIS) programme. The course aims to teach students
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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and its objectives, please read the Course Content framework here: https://entuedu.sharepoint.com/sites/Student/cs/adm/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FStudent%2Fcs%2Fadm%2FShared
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the course and its objectives, please read the Course Content framework here: https://www.ntu.edu.sg/docs/librariesprovider114/adm-information-pdf/undergraduates/course-content/viscom/dv3011_public.pdf
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to brand awareness and positioning, marketing of assigned programmes, and achieving the enrolment goals of the UG programme. He/She will collaborate closely with the other team members by supporting
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Content framework here: https://entuedu.sharepoint.com/sites/Student/cs/adm/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FStudent%2Fcs%2Fadm%2FShared%20Documents%2FCourse%20Contents