34 algorithm-development Fellowship research jobs at Nanyang Technological University
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University. Key Responsibilities: Conduct research on methods and approaches to support air traffic management studies and applications. Develop, test, and evaluate analytical models, algorithms, and tools
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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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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from chip. Characterise and optimise the algorithm for signal data processing for real-time cell analysis. Develop a user-interface platform for end-user testing of clinical samples. Job Requirements
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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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theoretical analysis, including stability estimates and convergence proofs, to guarantee the reliability of the developed algorithms. Design and execute high-fidelity numerical simulations for PDE-based models
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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, developing innovative hardware architectures and design methodologies, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Conduct
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation