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Learning Develop computer graphics and machine learning algorithms (e.g., SLAM and Gaussian Splatting), and evaluate their accuracy in scene reconstruction and camera trajectory estimation using videos
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progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to March 2028 Closing date: 13th August 2025 Background This research project aims to establish the theoretical and algorithmic
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-time reinforcement learning algorithms to personalise training difficulty for the DRUM-AI training app and help shape the future of AI-assisted rehabilitation. The post holder will be based in
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Nanomaterials that detect protein-structural changes Nano-optical devices for protein-signal sensing AI algorithms for protein structure and dynamics prediction Outstanding Postdoctoral Training Strategy
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, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
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to the development of smart AIoT prototype for monitoring. Key Responsibilities: Build and test AIoT prototype Develop and deploy self-navigation algorithms. Publish several papers in top journals. Write proposals
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Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist senior analysts
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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Monte Carlo algorithms as directed by Professor Sandeep Sharma in the Division of Chemistry and Chemical Engineering. Essential Job Duties Develop and maintain auxiliary field quantum Monte Carlo
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that