528 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" PhD positions in United Kingdom
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sequencing (NGS) data analysis. Through this interdisciplinary approach, the successful candidate will develop a highly sought-after skill set spanning clinical trials, microbiome science, molecular biology
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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University Belfast, University of Manchester, University of Edinburgh and University of Bristol. BioAID will train the next generation of scientists in Artificial Intelligence and data-driven approaches
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completed application should be emailed to the Doctoral College Admissions team by 6th April 2026 at 9am. Funding information Full tuition fee waiver for three years and a stipend each year at UK Research
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of spins that could form the basis of future low-power data storage devices. However, real skyrmions are three-dimensional and can twist, stretch, or deform when trapped by material defects - behaviour
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of adolescent mental health, social inequalities, epidemiology, and data science. The student will be embedded within a vibrant interdisciplinary research environment at the University of Bradford, working
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and