25 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" research jobs at King's College London in United Kingdom
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generative Large Language Models (LLMs), as well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
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( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address modern challenges in photonic
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including grade 7. Visit the [Centre for Research Staff Development](https: //www.kcl.ac.uk/research/research-environment/professional-development/centre-for-research-staff-development) for more
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the role The PDRA will carry out research on probabilistic circuits (PCs) and tree-based machine learning methods for generative modelling, with a particular focus on responsible AI. The project builds