459 web-developer-"https:"-"https:"-"https:"-"EURAXESS" PhD positions in United Kingdom
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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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(SRM) may be deployed to counteract harmful effects of climate change. However the impacts of SRM on (eg) monsoons, extreme weather, and air quality are poorly understood. We seek to develop and apply
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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affairs programming and enthusiasm for developing skills more widely in related research areas, such as cultural histories of South Asian peoples in Britain. Applicants should be able to demonstrate
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funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description This project develops advanced simultaneous wireless information and power transfer technologies (SWIPT
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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this challenge by developing modern data driven tools that help predict and manage corrosion in next generation bio refineries. The project brings together leading researchers from University of Leeds
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correspondence. Together, these materials form an insect archive that reveals evolving relationships between people and insects. The student will develop their own research questions, with wide scope to choose
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans