46 machine-learning-postdoc-"https:" "Naturalis" Postdoctoral positions at KINGS COLLEGE LONDON
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supporting better patient outcomes. The successful candidate will lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning
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metabolism Strong problem-solving skills and the ability to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and
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to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre
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to work on an NIHR-funded project evaluating Care (Education) and Treatment Reviews (C(E)TRs) for people with a learning disability and autistic people (the OptiCaT project). C(E)TRs were introduced in 2015
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP
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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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an exciting ERC project dedicated to biosynthesize and electrochemically characterise a series of metalloenzymes as the central target of the last WP3 of the ERC project. The postdoc will have to also work
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Formstone (see Panousopoulou et al. J. Cell Sci. 2016 (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
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at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About