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well as national and international collaborators. This British Heart Foundation-funded project, based in the Fuller Lab, will develop parallel, novel strategies targeting Ca(v)1.2 for translation into new
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Computing, Software Engineering, Computer Programming or Engineering programming. B2 Understanding of Trusted Research Environments. B3 Knowledge of developing parallel software for high performance
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expression and ultimate 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
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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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and simulation techniques, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN
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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
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well as community function, to be investigated in parallel. Standard geochemical analyses will be simultaneously performed to investigate interactions between the major nutrient cycles, and their impact on
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methods will be given by the supervisory team. Work towards achieving the Objectives will run in parallel through the project, broadly along the following timeline: Year 1: literature review, desk-based