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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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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
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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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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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for a broader range of potential users. This project aims to develop and refine non-invasive BMIs that integrate state-of-the-art AI-based neural signal processing techniques and large language models
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gain skills in cancer biology, human ‘omics, “Big Data”, high performance computing, and statistical analyses. You will be part of the Cancer Genetics team at the Norwich Medical School, which is an
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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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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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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