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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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About the Role This experienced post-doctoral position is to quantify, characterise and define extracellular vesicles obtained from preclinical and clinical samples in the context of chronic
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commensurate with their career stage. Experience in exoplanet (including host star) research and in data and statistical analyses (all broadly defined), is desirable but not essential, and applicants with a wide
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sensory inputs are integrated at the neural network level to form spatial representation in the brain, using state-of-the-art in vivo electrophysiology techniques including the latest Neuropixels probes and
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enumerative invariants using the moduli space of disks (with some orbifold structure). By carefully constructing this moduli space, one can then define open enumerative invariants as integrals of multi-sections
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About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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should have experience analysing data in large developmental cohort studies, experience conducting meta-analysis, experience with using structural equation modelling and working with statistical software
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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 .
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experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems