207 systems-science "https:" "https:" "https:" "https:" "UNIV" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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21 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) First
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21 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 19
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14 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Chemistry Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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7 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 5 Apr
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28 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 29 Mar
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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28 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile First Stage Researcher (R1
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3 Mar 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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21 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 22 Mar
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap