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Field
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haptic guidance methods that respond to operator skill levels. Identify trajectory features that characterise expert performance for training robots. Develop algorithms that allow robots to refine
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. In particular they will play a leading role in algorithm emulator development and maintenance as well as coordinating the definition and testing of interfaces to the Level-1 Trigger system. It is
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identification context, while promising for network-level monitoring, has been largely underexplored. To this end, the project will explore the application of the next generation of deep learning algorithms, e.g
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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The Department of Computer Science at Durham University seek to appoint a talented individual to the role of Asisstant or Associate Professor. This is a permanent position.We are seeking a talented
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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. Dwork, C. & Roth, A. (2014). "The Algorithmic Foundations of Differential Privacy." *Foundations and Trends in Theoretical Computer Science*, 9(3-4), 211-407. 4. Jordon, J., Yoon, J., & van der Schaar, M
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
such a promising technology, the centralised and resource-intensive nature of current LLMs conflicts with the constraints of aerial 6G networks in terms of limited computation, energy, and communication