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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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impactful system capable of reconstructing the 3D fetal aortic arch from routine 2D ultrasound views by combining generative modelling, deep learning, and rigorous clinical validation. Working within a
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the form of papers, posters or oral presentations Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow Downloading a copy of our Job Description Full details
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, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep
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cytometry skills, with strong evidence of experience in multiparameter flow or mass cytometry and deep cellular immunophenotyping of human immune cells, as demonstrated by high quality data in primary
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deep-tissue activation with minimal invasiveness. You will collaborate closely with partners at Glasgow and IIT to integrate Exeter’s wireless technologies with neurobot hardware, contributing
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transitions, particularly in the governance of critical minerals. The project responds to deep contestations over the meaning and purpose of justice in the shift to net zero emissions, which have led to policy
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are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary
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on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional
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working effectively as part of a multi-disciplinary research team. An enthusiasm for healthcare data research and willingness to adapt and learn new research methods. Desirable criteria Knowledge