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Field
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organoids and co-culture systems. Key Responsibilities & Activities Process patient biopsies/PBMCs, generate single-cell datasets (scRNA/CITE-seq), and identify testable pathways. Validate targets in tissue
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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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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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develop related research proposals and projects as part of a PhD programme under the primary supervision of the PI. Previous research experience in the area is recommended. The post-holder will join our
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how ageing affects motor unit structure and function in humans, providing a unique opportunity to work with cutting-edge neurophysiological and imaging techniques. The study will examine age-related
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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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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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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Research Fellow in Geosolutions: Subsurface Imaging and Uncertainty for Georesources This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are