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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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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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from traditionally under-represented groups in physics and astronomy including, but not limited to, women and Black, Asian and Minority Ethnic. The research programme will take place in
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University of Birmingham and afield. To apply, please click on the 'Apply' button above (physics programme) clearly stating the title of the project and the name of the supervisor (Dr. Miguel Navarro-Cía
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-represented groups in physics and astronomy including, but not limited to, women and Black, Asian and Minority Ethnic. The research programme will take place in the an interdisciplinary environment
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of Birmingham and afield. You can apply here: https://sits.bham.ac.uk/lpages/EPS019.htm (engineering programme) or https://sits.bham.ac.uk/lpages/EPS005.htm (physics programme) clearly stating the title
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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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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