493 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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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
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of the Intelligence Hub. Prototype quickly, test ideas, document learning, and iterate. Troubleshoot issues and propose workflow/system improvements. Explore new tools related to AI, automation, and workflow
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and positive learning experience for our Graduate Programme students by: Handling full spectrum of programme applications, from submission through assessment (including interviews & tests), offer
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of postgraduate and professional education programmes, including blended and online learning formats. Develop curriculum content and learning materials grounded in psychological theory, clinical evidence, and
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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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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 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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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