801 computer-programmer-"https:"-"UCL" "https:" "https:" "Computer Vision Center" positions 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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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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graduate programmes including continuing education from end-to-end administration. This includes managing admissions, programme management, student administration, and other related areas. This role is
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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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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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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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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Senior Programme Manager / Programme Manager, AI4S Programme The National Research Foundation (NRF) is a department within the Prime Minister's Office, and we set the national direction for research
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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