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of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare. Successful applicants
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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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Computer Science, on topics related to Artificial Intelligence and Machine Learning, Human-Robot Interaction and 3D Vision/Multimedia. Experience with deep neural models and algorithms for 3D spatial reasoning and
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Researcher (R1) Application Deadline 6 May 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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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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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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, privacy, and inclusion in AI-supported learning environments. Scholarly Dissemination – Publish findings in high-impact journals and conferences across AI, education, and human–computer interaction
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Alliance for Research & Technology (SMART). This position is part of the program: “Mens, Manus, and Machina: How AI empowers people and the city in Singapore (M3S).” The role offers a 1-year appointment with
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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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Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat