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Field
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and heart disease in children and adults with congenital defects. Research spans from preclinical and phantom work, to large multi-centre trials with the goal to improve the clinical pathway and patient
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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. This creates a large loss of value of strategically valuable raw materials and waste of energy related to material, cutting tools and parts production. The PhD project will therefore focus on automating and
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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practical experience in data science applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work
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biomarkers – including voice biomarkers – to support the early detection and remote monitoring of psychological well-being in people with diabetes. This project builds upon the large international Colive Voice
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links between home and flexible working patterns, mobility patterns and wellbeing. The project will take a multidisciplinary approach combining quantitative analysis of large-scale secondary datasets