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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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TypeHybridAvailable for SecondmentNoClosing Date15-Oct-2026JD_Param11YesJD_Param12Yes This is an exciting opportunity for a Clinical Research Fellow within the Centre for Medical Imaging (CMI). CMI has expertise in
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Lipid Nanoparticle Delivery, Advanced Imaging and Membrane
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learning, and computational modelling. The doctoral candidate will investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need
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frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing devices and equipment Good written and oral communication skills Ability to work independently and as a team Excellent
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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-the-art single-pixel detector-based THz imaging platform aided by computational image construction methods and active polarization state manipulation of THz waves for THz imaging of metamaterial
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Cardiovascular Imaging, Precision Health and Artificial Intelligence (MOSAIC study) Department Tsang Laboratory
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, Computational X-ray Nanophotonics for Phase Contrast Imaging We are seeking a Research Fellow to spearhead cutting-edge research in the computational and theoretical modeling of free-electron-driven X-ray