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Field
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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editing), transcriptomics, laser scanning confocal microscopy, computational imaging approaches for analysis of images and movies, stimulating neuronal function with opto- and thermo-genetics in vivo, and
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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high resolution imaging approaches. Determining the role of the UPR-ECM interaction in age-related health in C. elegans, using confocal microscopy, electron microscopy, and physiological and survival
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Project Supervisor - Dr Jonathan Kirby The field of complex numbers is in many ways the most elegant and important example of a mathematical structure in model theory. It has been the prototype
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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stress analysis, manufacturing, hands-on oriented, digital image correlation, Abaqus, scripting How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
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in mineralogy, geochemistry, material properties and big-picture Earth Science questions. If your first language is not English, you will need to meet the minimum English requirements for the programme