447 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nanyang Technological University
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opportunities. Ensure operational excellence in programme delivery, resource management, and adherence to all university policies and statutory requirements. Leadership of Student Life and Campus Vibrancy Provide
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics
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at the forefront of global scientific innovation. The AI4S Programme Office will be located at the CREATE campus, co-located with research labs, to foster collaboration and co-creation. We are seeking a dedicated
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website content (course outlines, catalogues, curriculum, programme structure) up to date. Drive course administration: support Masters and CET programmes each semester, including managing two e-learning
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(Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU, the Research Associate will be involved in a programme aiming at the development of novel formulations
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universities. Key responsibilities: Work with Programme managers to implement short-term outbound and/or hybrid inbound with outbound short-term programmes with strong outreach and publicity initiatives. Plan
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using computational tools. Assist in laboratory management and contribute to scholarly publications. Job Requirements: Bachelor's degree in Physics, Optical Engineering, Photonics, or related field. Hands
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Medicine Programme on clinical internship and junior TCM Physicians. Preparing graduating students for the Singapore TCM Physician Registration Examination (STRE). Conducting TCM courses as part of
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics