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changes in tinnitus impact. This project will require large scale data collection across multiple settings and platforms, and interrogation of the data using a range of advanced statistical techniques
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statistics, social sciences, health economics, health psychology, and will be expected to complete a PhD during the award period. Guidance notes can be found below, along with details of the specific research
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PhD Studentship: Leverhulme Trust PhD project: Lawn grass microbial fuel cells for widespread energy
statistical skills. Beyond scientific expertise, the program hones teamwork, critical thinking, and time management, offering scholarly exchanges within a vibrant PhD community. This comprehensive skill set
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relevance and acceptability, and senior statistical and design support to accelerate clinical translation. To view a list of projects available please click here You need a 2:1 or higher undergraduate degree
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Cytometry and Microscopy, Transcriptomics, Bioinformatics, and Statistics. References: Robinson, Andie J., et al. "Toward hijacking bioelectricity in cancer to develop new bioelectronic medicine." Advanced
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sponsors own security checks prior to the commencement of the PhD. Vision We are seeking a motivated PhD candidate with enthusiasm to learn about state-of-the-art developments in statistical machine learning
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to environmental performance and green innovation. It also explores how these effects change when combined with environmental regulations and innovation incentives. The project will employ statistical analysis and
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that capture seasonally forced multi-strain SEIRS infection dynamics and demographic turnover, with strain coupling determined by assumptions about co-infection and cross-strain immunity. However, statistical
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statistical skills. Beyond scientific expertise, the programme hones teamwork, critical thinking, and time management, offering scholarly exchanges within a vibrant PhD community. This comprehensive skill set
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protein production. A range of non-parametric statistical tools and AI models will be explored for this prediction problem, from more traditional machine learning techniques, such as random forests and