508 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at National University of Singapore
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Job Description Apply now Job Title: Assistant Manager / Manager (Marketing & Admin) Posting Start Date: 05/03/2026 Job Description • Handle the leasing of the 150 vending machines on campus and
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, this is your chance to join us to teach, mentor, and innovate. Apply now and turn your expertise into influence. What You'll Be Doing: Design and deliver executive education and graduate courses in software
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Engineering Employee Referral Eligible: No Job requisition ID : 31713 Apply now
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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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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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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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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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, 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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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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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