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About us The Department of Physics at King’s College London is part of the Faculty of Natural, Mathematical & Engineering Sciences. It provides a research environment spanning theoretical physics
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, including feature engineering, management of missing data, model selection, calibration, discrimination, decision-curve analysis and assessment of clinical utility, alongside internal, external and temporal
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the European Research Council. The project explores the relationship between digital technology providers and European welfare states in the context of data-driven innovation. The candidate will oversee the work
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of scientists focussing on understanding the role of smooth muscle cells in vascular calcification. This role involves the development of an engineered 3D flow system for understanding how mechanical signals
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Dencik and funded by an Advanced Grant from the European Research Council. The project explores the relationship between digital technology providers and European welfare states in the context of data
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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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, 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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About us King’s College London is an internationally recognised research-intensive university. The Department of Physics, within the Faculty of Natural, Mathematical & Engineering Sciences, hosts
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, biomedical engineering, medical imaging, or related field. Experience in deep learning with practical implementation. Strong Python skills and relevant frameworks. Experience with large clinical imaging
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of Edinburgh, with eight groups across the UK and the United States, the consortium engineers microbial S-layer proteins into large-area, defect-free, metal-coordinated 2D lattices for selective ion separation