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Field
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access
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research question of this PhD project is: How does extreme weather (e.g. heat waves and storms) affect the indoor environment (e.g. temperature, humidity, air quality), household behaviours and health, and
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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develop a theoretical understanding of the mechanisms of assembly that yield microbial communities capable of enhancing resilience and productivity of these cultures? The project will integrate
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following initial treatment. Despite the high morbidity experienced and described by patients, there is very little research into how to improve patient care during recovery from pneumonia. The PhD project
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. However, there are significant challenges to a broad proof of concept that would be addressed in this PhD project. Laser beam sources, process development and control to enable better control of mass
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paid. We expect the stipend to increase each year. Only Home students are eligible for funding. The start date is October 2026. The project aims to develop and optimize metal oxide aerogel materials
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uncrewed aerial vehicles (UAVs), within the context of national emergency logistics. The project will examine how these technologies can be integrated with existing infrastructure to support the timely and
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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research