19 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" Postdoctoral positions in Singapore
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(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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(R2) First Stage 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
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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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Researcher (R1) Application Deadline 12 Apr 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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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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on 15 October and continue until positions are filled. Inquiries may be sent to mat search@nus.edu.sg For further information about the department, please visit https://www.math.nus.edu.sg/ Application
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in Generative AI and Human Capital Development. This ambitious project seeks to redefine how we understand, simulate, and optimize career decisions in a dynamic job market. Successful candidates will
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interdisciplinary team possessing the skills and infrastructure needed to perform the proposed research. WISDOM program will also involve a strong network of industry partners which are committed to development and
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teaching statements, and at least three letters of recommendation. More information about the university and the department can be found at https://www.nus.edu.sg . Application Materials Required: Submit
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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