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assessed at each stage of the recruitment process. To be considered for this post, you must also submit a separate online application to the ‘Biomedical Engineering and Imaging Science Research MPhil/PhD
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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or job-sharing arrangements. The Role We are looking for a talented and motivated Image Analyst to join the UK Human Functional Genomics Initiative based in the Data Coordination Centre (DCC) at
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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to September 2031 Closing date: 20th October 2026 There are 2 positions available Background Vasculogenic mimicry (VM) is the process by which tumour cells imitate blood vessels allowing tumours to grow far
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cardiorespiratory CT imaging by seeking a year’s clinical research experience, allowing them time to write grants and apply for further fellowships leading to a higher degree (such as an MD or PhD) or use