352 computer-architecture-"https:"-"https:"-"https:" Fellowship positions in Singapore
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in AI and diverse STEM disciplines, with access to cutting-edge computing resources and strong institutional support for high-impact research. The NTU AI4X-PDF is more than a fellowship—it is a
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, service providers, researchers, and the wider public. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training Contributing
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The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection
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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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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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The National University of Singapore invites applications for a Research Assistant at the Healthy Longevity Translational Research Program and Department of Physiology, Yong Loo Lin School
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for...
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The Signature Research Programme in Health Services Research & Population Health (HSRPH) in Duke-NUS Medical School has been a leader in the study of health systems and services for the population
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Augmented Human Lab , at the Smart Systems Institute, National University of Singapore is seeking a Research Assistant with expertise in Machine Learning, AI, and multi-modal interaction for developing context-aware small language models for a human-robot interaction system. As a Research...
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python, TypeScript, and JavaScript, along with frameworks like PyTorch. • Excellent problem-solving...