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develop advanced predictive maintenance solutions involving sensor integration, high-speed data acquisition, electrical and vibration signal analysis, anomaly detection, and health analytics for marine
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Researcher (R1) Application Deadline 6 Aug 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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the development, execution, and translation of sustainable geomaterials for land reclamation under an industry-collaborative research programme, working under the strategic direction of the Principal Investigator
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and perform research independently as well as in a group A Degree in materials engineering, mechanical engineering or a related discipline Key Competencies: Strong initiative and a sense of
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integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a
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academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area
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benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and
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academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in