2,035 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" positions in Singapore
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threats (prompt injection, data leakage, tool misuse). • Design identity and authorization for AI agents (authenticated tool use, secure delegation, cryptographic logging). Key responsibilities • Lead
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Proficiency in python for machine learning Competent in soft skills / general personality traits e.g. information visualization, interaction design We regret to inform you that only shortlisted candidates will
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communication skills with the ability to document research findings and communicate effectively to diverse audiences. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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willingness to learn new techniques and software. Someone who takes ownership of safety and operational excellence, and enjoys supporting teaching and research. More Information Location: Kent Ridge Campus
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2000 words. THREE referees’ letters (one of whom must be the applicant’s MA/PhD supervisor, if applicable). More Information Location: Kent Ridge Campus Organization: Arts & Social Sciences Department
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2000 words. THREE referees’ letters (one of whom must be the applicant’s MA/PhD supervisor, if applicable). More Information Location: Kent Ridge Campus Organization: Arts & Social Sciences Department
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Officer (e.g., assists withethic submission or activities related to research operation, data monitoring andmanagement). 2.You will be expected to obtain additional training to improve required skills
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your application including your CV and names and contact information of 2 references to anne.bendt@nus.edu.sg More Information Location: Kent Ridge Campus Organization: Yong Loo Lin School of Medicine
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
decision-support systems and language interfaces. Develop GenAI POCs with safety-critical application as central focus. Curate, process, and analyze air traffic and domain-relevant textual data. Design and
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation