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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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of multimodal imaging techniques, such as computer vision and hyperspectral imaging, alongside Internet of Things sensors that will continuously monitor critical parameters such as temperature, humidity and food
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Maths or Statistics, or related subjects. You must be proficient in brain imaging, biosignal processing (preferably EEG), and programming in MATLAB, Phython or similar. You must also demonstrate your
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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the feasibility of a full ultrasound image analysis pipeline for the extraction of volumetric assessment of the fetal brain using point-of-care ultrasound devices. The post holder will play a key role in acquiring
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medical image analysis and natural language processing, with applications in cardiology within a global context. You will be responsible for the design and testing of bespoke AI models for cardiac imaging
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(negative stain & cryo-EM). High-resolution data collection and image processing. Candidates will have hands-on experience in these areas and a passion for molecular biology and imaging. About you The
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opportunity to participate in clinical research within an established multidisciplinary team with a track record in undertaking trial-related medical imaging research which has led to several changes in
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and