126 web-programmer-developer-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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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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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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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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developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to
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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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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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(Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU, IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis
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. The RF will be responsible for developing innovative solutions in the encapsulation of active agents such as immunostimulants in fish feeds to help optimize nutrition, immunity enhancement and improvement
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on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
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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