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an opportunity to be involved in analysing the quantitative data collected as part of the project. You will hold a relevant PhD qualification (or be close to completion), with sufficient relevant research
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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) in computer vision or robotics or biomedical image analysis. Knowledge of ultrasound imaging is not a requirement. You should have a strong publication record at the principal conferences and/or
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detailed T-cell phenotyping and functional assays • Conduct mechanistic studies using molecular and cellular immunology techniques • Contribute to data analysis, presentation, and publication
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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proteome in heart-specific cell lines and primary tissue. It will utilize disease model systems to characterize unique cell surface signatures for cardiomyocytes, coronary endothelial cells, and fibroblasts
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responsibilities include testing hypotheses and analysing scientific data from a variety of sources, including sequencing and transcriptomics (including spatial transcriptomics), reviewing and refining working