372 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at National University of Singapore
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, preferably in Computer Sciences, Bioinformatics, or Life Sciences, or related field of study. Candidates with equivalent experience may also apply Able to multitask and work independently, effectively and a
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applicants and is a great learning and development opportunity for those interested in finance and risk management. Career Benefits: Gain a detailed understanding of a cutting-edge quantitative credit risk
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account records; handle remaining research WBS claims/billings; manage computer replacement budget and asset tagging; assist HoD with Concur. HR/Academic: Coordinate recruitment logistics; support
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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and AI/ML technologies, will be an advantage. Experience in data analytics and managing AI-related products is an added advantage. Proficiency in Python and machine learning frameworks such as PyTorch
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are updated with required documents, notes, and case file numbers Qualifications Degree holder good with computer skills and ability to design EDMs Prior working experience in data entry preferred Competent in
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tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade. Knowledge of database, ETL and data API
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domain • Candidates from uniformed services (e.g., military, police, civil defense) with relevant operational or technical experience are strongly encouraged to apply • Some exposure to security projects
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and course materials. Evaluate module assessment components. Teach up to 240 contact hours per academic year. Qualifications A Bachelor’s or Masters’ degree in a relevant discipline. Candidates must
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and course materials. Evaluate module assessment components. Teach up to 240 contact hours per academic year Qualifications A Bachelor’s or Masters’ degree in a relevant discipline. Candidates must have