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microscopy, spectroscopy, and chemical imaging techniques to evaluate pharmaceutical film formulations. Gain hands-on experience with SEM, cryo-SEM, and Raman chemical imaging, including pharmaceutical sample
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digital twins at scale. The doctoral candidate will create computational approaches capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while
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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
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development
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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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imaging, and clinical research, you will play a pivotal role in transforming complex research data into meaningful discoveries that have the potential to improve health outcomes globally. As a highly
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: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare
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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
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Framework Programme? Not funded by a EU programme Reference Number PID2025-173855NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ultrafast Science of