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Field
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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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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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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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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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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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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
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applying multivariate and post-acquisition processing approaches to complex spectroscopic and imaging datasets and developing reproducible data-analysis workflows. Develop correlative and multimodal
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must also submit a separate online application to the ‘Biomedical Engineering and Imaging Science Research MPhil/PhD (Full-time)’ programme via King's Apply by 30th September 2026 23:59 BST. Please
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI