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Project Outline Skeletal muscle undergoes progressive loss of mass and function during ageing, a process termed sarcopenia. This decline arises from reduced myogenesis and degeneration of existing
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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=FR167D&code2=0005
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. This link is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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both analytical and numerical calculations. The PhD candidate should have (or about to complete) an undergraduate or masters degree in Physics or a closely related subject (preferably first class degree
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validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical