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, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning
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context characterised by increasing state intervention in the regulation of marriage, as reflected in recent legislative developments and public debates across Europe. These developments point to a growing
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health. This is an exciting opportunity to work in a high profile, a pioneering initiative to develop novel built environment models to inform health outcomes. HD4 is a major international collaboration
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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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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
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). The AI DTC is an initiative by the University of Nottingham to develop future researchers and leaders who can address key challenges of the 21st century through foundational and applied AI research
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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