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economics. Successful candidates will assist in high value health economic research endeavours and perform a variety of functions, such as: Execute econometric and other statistical analyses. Build decision
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a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related
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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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decision-making. Build robust, scalable experimental platforms capable of long-duration and autonomous operation. Contribute to high-impact journal and conference publications Mentor graduate students and
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, SuperGLUE, LiveBench). Familiarity with distributed training frameworks and high-performance computing environments. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD
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-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering
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health data. The successful candidate will play a central role in designing and implementing AI models, federated learning workflows, and computational pipelines, with opportunities to contribute to high
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(R1) Application Deadline 1 Mar 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Deadline 14 Feb 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related