20 machine-learning "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions at King's College London
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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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(https://doi.org/10.1242/jcs.180703) and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https://doi: 10.1038/ncomms11469 and Prof. Philippa Francis-West (Mao et al. Nature Comms. 2016 (https
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’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a Postdoctoral Research
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probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ ( https://arxiv.org/abs/2409.02096 in
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; physiology and women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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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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innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery
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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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probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ (https://arxiv.org/abs/2409.02096 ). You