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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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. The ideal candidate will have a strong background in Physics, Geophysics, Materials Science, Computation, Engineering, or a related discipline. Documented research experience in one or more of the following
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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, computational neuroscience, or a related field. Experience with brain stimulation, neurophysiology, or neural signal processing. Familiarity with tools such as Python, R, or similar for data analysis. Interest in
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers designing and translating technology into the clinical
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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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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI