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significant gains in computational efficiency without sacrificing performance. Key Responsibilities Contribute to the development of resource-efficient machine learning methods that improve computational
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predictive models using multimodal data (neuroimaging, clinical, biomarker, and demographic data). Support the design and implementation of computational pipelines and statistical methods for data
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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. Integrate effective wave-based computational techniques to inverse design next generation of acoustic metamaterial for ultrasound imaging system. 3. Develop experimental methods to validate the responses
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models (e.g., LLMs, multimodal systems) that support learning, assessment, and teaching practice. Empirical Education Research – Conduct controlled experimental studies (e.g. mixed-methods), including
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
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10 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Project Overview Wafer-Scale Integrated Sensing Devices based on Optoelectronic Metasurfaces (WISDOM) focuses on semiconductor wafer growth and processing for photonic applications. This program
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or complementarity with our existing strengths. Applicants should aspire to develop successful academic career. Applicants are Singapore Citizens. Further information on the programme – including the application form