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Field
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fairness. • Develop and evaluate large language models, foundation models, and agentic AI systems. • Implement machine learning algorithms, experimental frameworks, and research prototypes
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learning algorithms. Collaborating with industry partners to understand operational requirements and developing AI pipelines for analysing visual and sensor data collected during inspection processes
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on robotics and automation within the construction and built environment. The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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Assistant (RA) or a Postdoctoral Research Associate (PDRA). The appointed candidates will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimization
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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. Develop algorithms to identify specific seabed characteristics. Conduct independent research related to underwater active acoustics and seabed sensing. Collaborate with researchers from academia, industry
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth estimation, etc