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Full time research associate with the opportunity to work fully funded for 18 months on ultrasound data transmission across a metal barrier. The research is based on finite element and analytical
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, efficacy and benefit/risk of biological/immunological VMPs including vaccines. Applying your analytical and problem-solving skills quickly to assimilate scientific and other information, identifying issues
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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(including email addresses) of two referees; 4. At least one example of written work (in English, including some data analysis) that demonstrates your analytical and writing skills in a social science
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provide real-world insights and infected sample sets for testing. Student will join an enthusiastic, friendly, and supportive group of researchers who are all working on various analytical and experimental
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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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. However, as membrane-bound proteins, these receptors are extremely challenging to study using conventional analytical approaches. In this project, you will apply cutting-edge nuclear magnetic resonance (NMR
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis