1,785 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions in Singapore
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Assistant, Associate, or Full Professor (Permanent, Tenure Track, Tenured) - (250000CL) Description A premier university in Asia, the Singapore Management University (SMU) is internationally
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Job Description Apply now Job Title: Assistant Manager, Programme Posting Start Date: 24/03/2026 Job Description Please apply here for this position. (Only applications submitted through this link
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We are seeking a Research Associate to support research and development in grid-forming converters, power electronics, and advanced energy systems. The role involves designing, modelling
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Job Description Job Alerts Link Apply now Research Associate (AI-based Digital Pathology Diagnosis) University-Level Unit: Yong Loo Lin School of Medicine Faculty/Department-Level Unit: Biochemistry
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support our local & international programme deliveries and business development efforts. Reporting to the Senior Associate Director, the successful candidate will play a key role in ensuring the smooth end
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Job Description Apply now Job Title: Grant & Programme Officer, School of Computing Posting Start Date: 16/01/2026 Description The Grant & Programme Officer (Officer) will act as the administrative
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Job Description Job Alerts Link Apply now Assistant Professor (Presidential Young Professor) in Critical AI University-Level Unit: Arts & Social Sciences Faculty/Department-Level Unit
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prepare figures. Key Competencies and Requirements: Minimum Masters in Biological/Biomedical Sciences or related disciplines or Degree in veterinary sciences for Research Associate position. PhD degree is
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. Ability to implement numerical and computational algorithms efficiently, with attention to reproducibility and software engineering best practices. Strong analytical and logical reasoning skills
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an emphasis on technology, data science and the humanities. The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science