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Field
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Utilising our world class facilities • multiple omics • cellular and sub-cellular imaging • biophysics • structural biology - cryo-EM • bioinformatics/AI • CL3 facilities All
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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research exploring how the brain regulates perceptual and cognitive processes. In this role, you will conduct human studies using behavioural testing and brain imaging techniques to investigate a range of
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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biomarker collection and MRI imaging. Both the EJS ACT-PD Trial and Initiative are led by Professor Camille Carroll (Newcastle University, Co-Chief investigator) and Professor Thomas Foltynie (UCL, Co-Chief
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine