1,401 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions in Singapore
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an emphasis on technology, data science and the humanities. The Senior Executive, Clinical Practice and Patient Safety role is to provide administrative and logistical support in the planning and running
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of processes that enhance and support research. This role requires exceptional organizational, communication, and interpersonal skills, as well as the ability to manage confidential and sensitive information
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communities in teaching innovations Maintain accurate and updated data for reports, analysis and future planning 2. Programme, Secretariat and Conference Support Liaise with programme leads / workshop
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Business Assistant Manager/Senior Executive/Executive (Manager (Lifelong Learning Programmes), SCALE
, Tagalog/ Filipino, Vietnamese, will be an advantage in managing clients in the region. • Tech savvy and proficient in MS Office, SaaS, and possess basic data analytics skills. Experience & Attributes
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professionally. Update the CSDU website on a needs basis, ensuring information is current and accurate. General administration and records Maintain accurate filing and document management across programmes
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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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a high-tech satellite ground station at the National University of Singapore. The Centre operates multiple dish antennas that track, receive and process data from remote sensing satellites orbiting
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compliance with NUS policies and data protection requirements. The role also includes providing general administrative support for day-to-day office operations and undertaking ad hoc duties as assigned. Join
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these methods to heart disease modeling using multimodal clinical data. Work with PhD students and research staff to solve related research problems; oversee and report project progress. Job Requirements
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modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts