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of existing bus stops and services provided by bus operators and regional transport organisations, along with bus fare and timetable data and a range of datasets on the socio-demographic, economic and land use
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human emotions. It will address the following key questions: How can large-scale unlabeled videos be effectively utilized? How to design more effective multimodal learning methods using advanced
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dedicated training period in Birmingham will deepen expertise in bioinformatic pipelines and big-data analysis. Ultimately, the goal is to identify strains or exopolysaccharides capable of limiting breast
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join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum foundations and quantum information theory. Your personal sphere of influence: As a university assistant (praedoc
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mega-constellations of commercially owned satellites (Starlink and OneWeb) comprising a large proportion of operational LEOsats providing vital services including Earth observation, climate monitoring
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experts at Thales Alenia Space. The project seeks to advance the synthesis of both quantitative and qualitative information and methodologies to support sustainable and inclusive future innovation for
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at the Large Hadron Collider (LHC) at CERN. It is a novel experiment searching for exotic long-lived and weakly-interacting new particles. Such particles are excellent candidates to explain the existence of Dark
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twins are virtual replicas that continuously assimilate patient data to provide personalised predictions and support clinical decisions. To enable the clinician to make decisions, an accurate knowledge
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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
application areas. Cranfield is part of the national testbed for 6G, researching in the following areas of interest: Real-time specification of 6G telecommunication and edge computing services using Large
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field, with a strong specialization in Machine Learning or Computer Vision. Hands-on experience training and deploying large CV models, including some cluster-based or multi-GPU experience. Solid