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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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opportunity to contribute to the development of next-generation construction materials that are both low-carbon and climate-resilient. The research will focus on designing and testing functional materials
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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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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
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to directly address this critical gap. The research aims to develop a more accurate and equitable tool for early CVMD risk prediction, with a specific focus on the underserved South Asian population, who carry
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. For UK applicants: apply through MIBTP only (https://warwick.ac.uk/fac/cross_fac/mibtp/phd/ ). For non-UK applicants: email Dr Kettles to discuss most suitable program. References: Uehling et al. PLoS
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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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). Funding notes: For details of the MIBTP project and programme, visit https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/SSmerdon/#molecular_shape-shifting Eligibility and further details