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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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analysis, and may contribute to scientific publications. The CRF will work closely with the broader multidisciplinary team, including postdoctoral researchers in biomedical engineering and computer vision
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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: Pharmaceutical Biophysics, Chemical Biology, Drug Delivery, Pharmacology and Therapeutics, and Clinical Practice and Medication Use. There is a vibrant PhD programme with more than 100 students, and a
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and