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autophagy and the innate immunity response. Using cutting-edge omics (transcriptomics/proteomics), advanced imaging (confocal) and cellular biology approaches (macrophages, autophagy biomarkers), this project
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fieldwork and laboratory experiments. Fieldwork will be conducted in established locations, where investigations of aquatic communities has already been undertaken, allowing a holistic picture of Crassula’s
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prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from the Process Intensification Group at Newcastle University. There will also be an industrial
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for image clustering applied to population health research Novel statistical approaches for analysing high resolution movement data in animal models of human health Early presentation of atherosclerotic
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their needs from cyclone forecasts on this timescale, potentially leading to development of a prototype forecast. Join our University of Birmingham Meteorology and Climate group: The studentship is
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industrial partners to deliver impacts on real world The opportunity to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts
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to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts *Candidates who have not yet been officially awarded their PhD will
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training platform. You will gain hands-on experience in cutting-edge plant ecophysiology techniques such as chlorophyll fluorescence, gas exchange (using LICOR systems) and thermal imaging, to assess plant
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databases. Integrating image- and text-derived datasets poses challenges due to differences in scale, structure, and accuracy, requiring robust data fusion and validation. By combining these AI-derived trait
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-driven shifts in species distributions. Currently, barnacles and other species are manually counted from over 3,000 images each year, which is time-consuming and prone to human error. This project will