453 computer "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nanyang Technological University
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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leadership skills, and explore intellectual boundaries through interdisciplinary collaborations with fellow students and scholars. Key Responsibilities: Student Talent Development Programme (STDP 2.0) Provide
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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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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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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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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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: 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