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Field
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will use large genomics databases such as the UK Biobank, a collection of 500,000 individuals including genetic and healthcare records. The project is a data analysis project – from day to day you will
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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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research assistant) or extended work/study/travel in a different cultural context Experience and understanding of qualitative data analysis Experience conducting statistical analyses in R Funding Notes Each
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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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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems
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production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing a comprehensive multi-perspectives analysis approach, essential to track
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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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