144 coding-"https:" "https:" "https:" "Computer Vision Center" Fellowship positions in Singapore
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Job Description Apply Now Research Engineer/ Fellow (Applied AI research in computer vision, vision-language models) (XBJ) Posting Start Date: 27/02/2026 Schemes of Service: Research Division
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Job Description Apply Now Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Posting Start Date: 25/06/2026 Schemes of Service: Research Division: Professional Officers Employment
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Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 9 Oct 2026 View more categories View less categories
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to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language
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Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep
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Job Description Job Alerts Link Apply now Research Fellow (Digital Twin of Data Center) ▲ Collapse Job Title: Research Fellow (Digital Twin of Data Center) University-Level Unit: College of Design
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view : https://www.ntu.edu.sg/medicine/drcs and https://www.drcs.sg/ Key Responsibilities: Technical leadership & architecture Lead technical direction and system design, and actively contribute to hands
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electronic engineering programmes. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should possess a Ph.D. degree in Electrical Engineering, Computer Engineering, or a
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on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: • Participate in and manage
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about our research interests and goals at https://Singaporebrainhealth.org. The Principal Investigator prioritizes teaching (e.g., meets with team members regularly), rigorous methodology, and active