842 computer-programmer-"https:" "https:" "https:" "UCL" "UCL" 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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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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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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(such as e.g., lead design/animation or indie development) may also be considered in exceptional cases. For more information on the course and its objectives, please refer to GDAT programme website here
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particular, the appointee will be expected to: Teach in the Master of Science in Modelling and Simulation program and contribute to undergraduate teaching; Supervise student projects and provide academic
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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on matters related to the project, purchasing equipment and software, and answering queries about the project. Job Requirements: At least a PhD in information studies, information science, or related social
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Science, Information Technology, Engineering, or a related discipline. Experience: Minimum of 3 years in software development and IT project management. Domain Knowledge: Strong understanding of university-level programme