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expected to design and drive independent research projects, contribute original ideas for new research directions and funding applications, and analyse complex datasets using programming tools such as Python
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ecomorphological outcomes significantly parallel. As a next step, it is vital to dig more deeply into the molecular mechanisms driving these patterns. This project will examine replicate divergences into specialist
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metabolic disease, including type 2 diabetes (T2D), Non-alcoholic fatty liver disease (NAFLD) and obesity, collectively referred to as metabolic syndrome (MetS), has occurred in parallel with a global decline
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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques used are Biomolecular NMR spectroscopy and