11 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Postdoctoral positions at King's College London in United Kingdom
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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to work on a new study funded by the Wellcome Trust. The aim of this project is to advance understanding of the lived experiences and support needs of minoritised ethnic people with multiple long-term
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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present; it then offers students pathways to study every continent through their second and third years. Our MA provision is similarly broad, developing students’ expertise in medieval, early modern and
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presenting experimental research focused on characterising the evolution of immune evasion mechanisms in SARS-CoV-2. This work will concentrate on viruses isolated from immunocompromised individuals with long
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Campus. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus on mentoring and career development. The School hosts the British Heart
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single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus on mentoring and career development. The School hosts
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health:- The Institute of Pharmaceutical Science at King’s College London is organised into Departments that work together towards the development of toxicological and forensic science; the discovery
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of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling