245 web-programmer-developer-"https:"-"UCL"-"https:"-"https:" Fellowship positions in Singapore
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the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing environmental
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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the research and support team that conducts clinical trials and manages day-to-day operations. Key Responsibilities Clinical Trial Innovation and Excellence Development of innovative clinical trial
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, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications. Qualifications
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Propose and develop state-of-the-art methods to overcome existing problems. Train and evaluate the models and systemically compare them with recent models. Prepare papers and reports. Develop systems based
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies