361 data-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" PhD positions in United Kingdom
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated
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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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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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-I) remains a viable alternative but to date few studies have explored its use in pregnancy. There is no conclusive data available on long term efficacy, maternal and neonatal outcomes and whether its
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of Singapore's research and innovation ecosystem and aims to support the development of a sustainable, climate-resilient, and healthy city through data-driven design and policy-relevant research. The programme
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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