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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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About the Role Applications are invited for a full-time Postdoctoral Research Associate to work on an EPSRC funded project developing wearable ultrasound sensors. This post will be hosted 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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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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– 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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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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network and is a research-intensive department. We expect academic excellence and offer an inspiring and stimulating working environment, flexible working hours and excellent opportunities for professional