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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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materials-based heterostructures, where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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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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graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
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ultrasound, Liposome drug delivery systems, in vivo imaging techniques, such magnetic resonance imaging (MRI) and near-infrared fluorescence (NIRF)/luminescence imaging. The candidate should have suitable
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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. The successful candidate will have an engineering background and expertise in the development and deployment of radar-based technology for geophysical monitoring, and in the processing and interpreting of data
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop