26 data-analytics-phd Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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printing technologies and materials is advantageous. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Ability
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3 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Chemistry Researcher Profile First Stage Researcher (R1) Country Singapore Application Deadline
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3 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval
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3 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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Chemistry, Biotechnology, Pharmaceutical Engineering or closely related disciplines. Possessing a PhD degree will be advantageous. Analytical chemistry (experience with chromatographic methods, particularly
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3 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Biological sciences Chemistry Engineering Chemistry Researcher Profile Recognised Researcher
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PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis