989 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs in Singapore
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Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: Job requisition ID : 31376 Apply now
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student Graduate Assistantship Programme (GAP) hours and seminar attendance. This role is integral to ensuring efficient academic administration and enriching students’ learning experiences throughout
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the educational mission of the Department of Biomedical Engineering (BME), specifically in the areas of graduate studies (lifelong learning programmes and graduate research programmes) as well as certain areas
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industry to enhance student learning, employability and programme relevance. The key responsibilities include (but not limited to): Overseas Immersion Programmes: Collate budget for each overseas course in
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Studies at Singapore Management University (SMU) invites applications for part-time instructors with proven teaching skills to teach the course: COR2411 Japanese for Business, AY2026-2027 Term 1. This is a
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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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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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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. Job Responsibilities: Conduct research on deep learning applications for carbon measurement, route
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will support functional process improvement and streamlining to meet university mission and vision. Candidate has an opportunity to learn more than 1 system in billing and collection, involved in system