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Field
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. Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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dietary exposure risks to consumers. The research will involve method development using LC-MS/MS for toxin detection, sample collection, data analysis, and comparison of results against current safety
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- or tissue-microenvironment. Our existing collaborations with AstraZeneca have yielded very interesting data specific metabolites that are involved in the migration and positioning of regulatory (Tregs) and
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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The Addictions Department (School of Academic Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London) invites applications for a fully funded PhD studentship beginning
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findings and stakeholder insights into accessible, evidence-based resources that support collaborative learning, knowledge exchange, and action. Document research outputs, including analysis and
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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metagenomics, host transcriptomics, and clinical metadata. Training will be provided in ONT data processing, differential expression and abundance analysis, and bulk or single-cell RNA-seq. The project will use
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will be secondary data analysis, linking reported incidents of violence with weather data to identify correlations between climate variables (e.g., temperature extremes, humidity) and violent crime