656 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at National University of Singapore in Singapore
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Description The National University of Singapore invites applications for a Research Assistant (RA) position in the Computational Brain Imaging Group (CBIG), at Yong Loo Lin School of Medicine. More information
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high-impact international peer-reviewed journals; Experience in leading independent research studies; Ability to develop an internationally renowned research programme. Responsibilities Responsibilities
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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well as administrative support to the unit. Duties and Responsibilities: Programme manager overseeing health management and active lifestyle activities including recreational sports interest groups, chronic disease and
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. Expand Industry-Related Educational and Training Programmes: • Lead efforts to enhance and expand the Industrial Postgraduate Programme (IPGP) and other training programs in collaboration with relevant
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to increase productivity. Shift KPIs from “on-time delivery” to measurable institutional outcomes and adoption Job Requirements Bachelor's or Master's degree in Computer Science, Information Technology, or a
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, evaluate a variety ofunpredictable scenarios and achieve project timelines while being able to apply yourunderstanding of study protocol(s). •Strong computer skills, including but not limited
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applications for the position of Casual Admin Support in the Dean's Office, School of Computing (SoC). The candidate will support the Admissions unit in managing admissions matters. Key Responsibilities: Respond
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University offices, in compliance with NUS fundraising governance requirements. Maintain accurate records of gifts and donations and support reporting as required by Centre management. Educational Programme
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial