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Our research strength is identifying the causes of mental disorders and suicide to develop clinical trials of novel complex interventions. PhD: 3-4 years full-time; 5 years part-time; IPhD: 5 years
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information of increasing complexity pose significant challenges to our individual and collective use and curation of information. Fundamental concepts such as identity, memory, authenticity, trust
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health and the Institute of Health and Wellbeing. Our supervisors use a variety of approaches to understand complex problems including complex statistical analysis, data linkage, longitudinal
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STFC PhD studentship 2025’. Late applications will not be considered. We expect to hold interviews the week beginning 24 March 2025. The geological evolution of C-complex asteroids and their role in
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interventions to extend human healthspan. Techniques: Data mining Transcriptomics Proteomics Statistical Analysis Machine Learning Genetics Molecular Biology References: Developmental mitochondrial complex I
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to develop a network of collaborations locally (across the James Watt School of Engineering and the University) as well as to liaise with industry to translate their research to the highest impact
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parallel with a global decline in fertility and increased incidences of male and female reproductive dysfunction. Although the etiologies of these conditions are complex, there is increasing evidence that
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thaliana. The project will combine genetics, molecular biology, and cell biology to systematically investigate the light-regulated gene networks and protein complexes that mediate thermotolerance. Using well
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machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise cellular graphs) of the spatial
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the parallel/convergent basis of complex phenotypes. This project will build on existing datasets and with opportunity for new experiments. The ideal candidate will have some familiarity with bioinformatics and