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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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successful candidate will: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical
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thermodynamics; large-deviation theory; statistical mechanics of machine learning. The main responsibility of the role is to carry out theoretical and/or computational research in quantum and/or classical
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for the treatment of mental health conditions in older adults. The appointed candidate will be responsible for managing the CPRD dataset, conducting statistical analyses in accordance with the research protocol
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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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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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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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statistics, data science or quantitative research methods). You must have excellent data management, analysis and programming skills in Stata and/or R, and have experience working with routinely recorded
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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