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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning
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relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
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receptor, and human epidermal growth factor receptor 2 expression. Therefore, TNBC is characterised by aggressive clinical behaviour, and inherent resistance to conventional chemotherapy. Recently
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address Dr Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed the way
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NO2 causes an increase in O3. Statistical methodological developments are required to understand the relationship between air pollutants and health outcomes to account for both the size and nature
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normal traffic patterns. Supervisory Team: The candidate will be supervised within the Division of Cybersecurity and Computing by Prof Ian Ferguson and Dr. Salma Elsayed. Mr Sean Sturley will act as
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a friendly, vibrant and intellectually stimulating place to work We are seeking a Researcher in Bioethics to work closely with Professor Michael Parker and Professor Patricia Kingori on a project
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Funding Source: Warwick Industrial Fellowship (WIF) in partnership with Hydrograph Eligibility: UK only Supervisors: Professor Tony McNally, Dr Fengzai Tang Supporting Company: Hydrograph (see Home
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human behaviour, influenced by people’s social connections, and resources. Predicting disease spread is difficult due to factors like parent’s age, ethnicity, socioeconomic status, and nursery layout
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coordination between various factors that guide ribosome docking and membrane integration. When misfolding occurs, through mutation or dysregulation of synthesis, AQPs become defective or depleted, leading