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. Candidates must have a strong research track record. Experience with in-vivo imaging, rodent behaviour and analysis of complex datasets will be highly valued. The selection process will be a panel interview
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, funded by an internal MRC Impact Acceleration Award, we will use currently-collected patient imaging data to further develop computational pipelines to reconstruct personalised image-based computer models
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across Informatics, Engineering, and Biomedical Engineering and Imaging Sciences. This is an opportunity to contribute significantly to building collaborative activities between these units, as
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computer. Passive monitoring involves data collection using a wearable device and a purpose-built smartphone Passive App (for example, data on physical activity, sleep, social interaction, relative location
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methods to real-world security challenges in the Cloud Native space: you will be working on KubeSec-AFM, a prototype to formally assess the security posture of Kubernetes clusters. Kubernetes is a Cloud
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staff position within a Research Infrastructure? No Offer Description About us Research in the Department of Surgical and Interventional Engineering within the School of Biomedical Engineering & Imaging
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for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic
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quantification, multimodal data integration and explainability. To collaborate in an interdisciplinary team of clinicians, computer scientists, mathematicians, statisticians and biologists to ensure clinical AI is
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analyses from model systems and patient studies of triple-negative breast cancers. We lead on the latest technologies to perform subcellular spatial transcriptomics and hold a wealth of whole slide image