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the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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Neuromodulation service Established research links with other Schools with the Faculty of Life Sciences and Medicine in KCL including the School of Biomedical Engineering and Imaging Sciences, which includes
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, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare. Our staff and students comprise physicists, chemists, biologists, engineers, computer scientists
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hold a PhD in neuroscience and have several years of experience as a postdoctoral researcher. You should be competent in the bilateral carotid arterial stenosis (BCAS) surgical procedure in mice, and
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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guardrails inspect everything in plaintext and offer weak formal assurance. This PhD asks how to build AI services that remain useful while enforcing such constraints and protecting sensitive information. Open
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to transform how complex biological models such as organoids and engineered tissues are built, monitored and analysed. Combining live imaging, automation, environmental control and biofabrication within one