638 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Singapore
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established as a joint initiative between the Lee Kong
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enquiries should be sent to alvincyh@nus.edu.sg (please indicate “Research Assistant (Project Management) Application for SGHA-TGM” as the subject heading). More Information Location: Kent Ridge Campus
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written and verbal communication skills in English. More Information Location: Kent Ridge Campus Organization: Yong Loo Lin School of Medicine Department : Medicine Employee Referral Eligible: No Job
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work if this position is offered to you. (We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.) More Information Location: Bukit Timah
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transcripts and 3 referee’s letters of recommendation to this job portal. We regret that only shortlisted candidates will be notified. More Information Location: Kent Ridge Campus Organization: Yong Loo Lin
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. Applicants are required to have strong bilingual proficiency in English and Mandarin as they will need to conduct research in both languages. More Information Location: Kent Ridge Campus Organization: Arts
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input and supervision. Lead the development of evaluation framework and/or assessment tool, survey design, interview, focus group discussion, qualitative and quantitative data analysis, and data
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team