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Field
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). Overview We are looking for PhD candidate to work with The National Hub for Decarbonised, Adaptable and Resilient Transport Infrastructures (DARe ), led by Newcastle University and is jointly funded by EPSRC
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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to integrate data to realize collective-distributed perception? 3) How to buld reliable navigation solution based on limited sensor data The study goal is to carry out high-quality research in this domain
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research areas encompass the synthesis of novel converter topologies, development of specialized control and protection algorithms, integration of cutting-edge components, and formulation of design
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Framework Programme? European Union / Next Generation EU Reference Number 165526 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis and design of algorithms
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the research group of Optical Quantum Communications; Contribute to the implementation of and characterization of a quantum receiver of a quantum key distribution system for long-distance optical links
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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. About your role: Develop improved physical models of the image formation process in holographic X-ray imaging Design and implement reconstruction algorithms for handling large-scale tomographic data from