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                cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and 
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                , presentations, and public engagement, while working closely with a collaborative team of scientists, clinicians, and engineers. We are looking for a motivated and versatile researcher with: A PhD in biomedical 
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                About us King’s College London is one of the UK’s leading research institutions, committed to excellence in science, engineering, and healthcare innovation. This position is based within 
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                to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who 
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                health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a highly multidisciplinary environment that spans fundamental discovery through 
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                engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models 
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                for research, education and clinical translation in oral and craniofacial health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a 
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                -mediated homologous recombination and transposition. Competency in imaging technology, such as confocal microscopy and fluorescent live cell imaging, in particular calcium imaging. Experience with 
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                Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in science and technology studies 
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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