122 web-programmer-developer-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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, conference papers, books, and creative research artefacts where applicable. • Contribute to the strategic development of games research directions and priorities at ACRC. Grant Development and Funding
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech
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quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML development Independent
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The School of Physical & Mathematical Sciences (SPMS) is seeking a highly motivated Research Fellow to advance research in AI-enabled metamaterials and antennas. Key Responsibilities: Develop AI/ML
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international team that combines theoretical and experimental perspectives to jointly develop new approaches and paths for QKD testing and evaluation. The team includes experts from QKD, quantum optics, quantum
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: The candidate will research and develop a methodology/framework for multimodal perception
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applicant will lead and coordinate the development of robotic solutions for healthcare, transforming research insights into real-world technologies that advance patient well-being and scientific progress. Key
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are looking for a Research Fellow to develop numerical methods for mathematical finance and engineering. The role will focus on numerical methods for mathematical finance and engineering. Key Responsibilities
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. The RF will be responsible for developing innovative solutions in the encapsulation of active agents such as prebiotics and probiotics in fish feeds for juvenile fish, to help optimize nutrition, immunity
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data