494 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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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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validating an immune panel using PBMCs to demonstrate multicolor flow cytometry workflows, enabling new users to learn panel design, data acquisition, and data interpretation. Qualifications • Bachelor’s
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Manager will be an integral member of the Undergraduate Studies Office, overseeing the operational delivery of Student Exchange Programmes (SEP) and other overseas learning initiatives in response
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stream of research funding. Ability to teach public health courses at various levels (undergraduate, graduate and lifelong learners). Ability to work within multidisciplinary teams. Ability to work with
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on new initiative and emerging technologies. • Conduct or facilitate knowledge sharing. Qualifications • A degree in Computer Science, Computer Engineering, Information Technology or equivalent. • Relevant
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Teaching): Deliver day-to-day technology and audio-visual support for a high-quality teaching and learning experience. Deploy and support hybrid teaching technology (eg. Zoom) supporting either fully virtual
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resolution, etc. • Computer Account Management - manage visitor user accounts, manage IT security and policy compliance. 3. Ensure annual Business Continuous (BC) Plan are properly executed, documented
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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invites you to join our team At NUS-ISS, we don’t just teach AI, we help organizations adopt it responsibly and effectively. You will be part of a vibrant community of educators, innovators, and industry
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of Lecturer / Senior Lecturer and teach inter-disciplinary courses in the College, in the areas of innovation & entreprenurship, digital literacy / AI, and / or systems thinking. Each inter-disciplinary course