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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM
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Classification Title: AST PROF Classification Minimum Requirements Candidates for this rank shall hold the highest degree appropriate to their field or possess equivalent qualifications based
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Competition Funded Students Worldwide Prof F M Boissonade, Dr Thomas Paterson Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research
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Worldwide Prof Tom Hayward, Dr Matthew Ellis Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research undertaken by the EPSRC Doctoral
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and optimisation algorithms, focusing on their practical application in the context of the RaceEngineerAI project. Tasks include: - Developing models capable of simulating the behaviour of racing
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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for the Augmented Human, the Research Associate will:- Design and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance