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appears protective. This inverse relationship provides a powerful genetic entry point to identify pathways that drive vulnerability or resilience genome wide. This project will use computational methods
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problem to improve the clinical pathway for individuals who are at risk of dementia due to well-established risks such as cognitive decline, lifestyle, medical or genetic factors. This project aims
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. The successful applicant will work with experts in diabetes, data science, and genetics, and use detailed existing studies of hundreds of thousands of people with diabetes, to understand what is causing apparent
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. The success of neural networks as a platform for developing AI is partially explained by the fact that backpropagation, the primary algorithm used to train them, runs efficiently on conventional CMOS hardware
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-class or upper second-class honours undergraduate degree, a Master’s degree and/or relevant research experience in areas including biochemistry, molecular biology, genetics and bioinformatics. Skills and
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combine bacterial genetics, genetic engineering and experimental phage biology to perturb host physiology and test causal mechanisms. The work will include constructing bacterial strains and reporters
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on the specific questions addressed, approaches may include mammalian cell culture, molecular and cell biology, genetic perturbation, imaging, epigenetic and chromatin profiling, and in vivo models of early
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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leading cause of heart failure and sudden cardiac death in young adults. While often caused by faults in heart muscle proteins, how these genetic changes lead to heart thickening, scarring and electrical
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the design, implementation and interpretation of projects utilising human genetics data. The role holder will use their computational skills and experience of using statistical genetics approaches to analyse