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Recherche Médicale, Republic of the Congo), focuses on building resilient clinical research and epidemic preparedness networks in Central Africa through a One Health approach. CCM contributes expertise in
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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: collaborate with leading academic and industrial partners; work with state-of-the-art agricultural robots, advanced sensors, and AI systems; have access to industrial-scale glasshouse facilities and research
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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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Centre of Excellence in Restorative Neural Dynamics (CoRE RND) and the Brain Network Dynamics Unit (BNDU), a division of NDCN. The Group has a strong track record in of executing translational studies
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, methods and future research proposals. Work collaboratively with project investigators, research colleagues, technical staff and international partners, developing networks and opportunities for future
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NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks”. The research will involve collaboration with
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important pathogens. About you The successful candidate will develop and apply genome analysis pipelines to identify potentiating mutations and/or gene gains on projects across the IOI and PubMLST network
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information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .