277 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs in Singapore
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines
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the brain. The key objective is to support efforts to identify how these interactions contribute to neurological disorders and to discover potential therapeutic targets. For more details, please view https
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department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg/medphc/index.html
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position within a Research Infrastructure? No Offer Description Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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execution and milestone completion. Job Requirements Strong background in AI/NLP or speech technologies, with experience in designing and implementing machine learning models. Proficient in software
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. The key objective is to support efforts to advance fundamental and high-impact research. For more details, please view https://www.ntu.edu.sg/spms. Join the laboratory of Shilei Ding at SPMS. We are looking
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, Bioinspired Materials and Sustainable Materials. For more details, please visit https://www.ntu.edu.sg/mse/research. We are looking for a Research Assistant/ Research Fellow to develop documentation for self
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solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key