227 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs at Nanyang Technological University
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of smart connectors for modular floating breakwaters. The role will
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. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. We are looking for a Postdoctoral Research Fellow to advance research in developing
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the humanities, arts, and social sciences, enabling them to develop strong, independent research portfolios while contributing to the College's research, teaching, and intellectual life. Areas of Research Scholars
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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proactively taking on new tasks when necessary to facilitate the team’s development. The candidate may also have opportunities to supervise junior researchers, develop research proposals and attract additional
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focus on the design, development and evaluation of such tools. Key Responsibilities: Lead research into Real-world Deepfake Detection, Image Forgery Detection & Localization, and Multimedia Forensics
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in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare