396 algorithm-development-"The-University-of-Edinburgh" Fellowship positions in Singapore
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noise, allowing only specific algorithms with relatively shallow quantum circuits to be executed. In the NISQ era, hybrid algorithms run partially on quantum computers and partially on classical computers
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to lead the research and development of a secure and privacy-preserving multimodal biometric
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. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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techniques, and optimal energy management algorithm development for the optimal operation of the microgrid system. Strong knowledge of power electronics, drives, and control is highly preferred. Experience
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. This project aims to develop scalable, textile-based wearable devices for real-world joint motion tracking, enabling continuous and unobtrusive monitoring of movement in clinical, rehabilitation, and everyday
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD