1,112 computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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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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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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research programme funded by the National Research Foundation (NRF) and the Singapore Food Agency (SFA), and administered by the Singapore-HUJ Alliance for Research and Enterprise (SHARE) This collaborative
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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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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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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to work on designing, training and optimizing compact computer vision / multimodal models for deployment of privacy-preserving inference pilots. Key Responsibilities: Design and develop compact computer
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. The candidate is expected to work on implementing and optimizing the deployment of privacy-preserving inference pilots of efficient computer vision / multimodal models. Key Responsibilities: Design and develop a