31 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Liverpool
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at the University of Liverpool. Your role will include building a computational model for the interaction of a plasma with a solution undergoing the sol-gel transition process. The role also includes conducting
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@bath.ac.uk). You should have a PhD (or close to completion) in Applied Mathematics, Physics, Engineering, or a closely related discipline. If you are still awaiting your PhD to be awarded you will be appointed
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, and ecology using a range of modelling and observational-experimental approaches. You will work closely with Dr Jamie Wilson and a second postdoctoral researcher specialising in quantifying
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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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requirements. This post is fixed term until 31 July 2027. You should have, or be about to obtain, a PhD in Theoretical Computer Science, Mathematics, or a closely related field together with an excellent track
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work closely with a large interdisciplinary research team of academic and clinician colleagues in Liverpool and Manchester. The post is available until 31 July 2027. You will have a PhD (or be about to
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of an application please contact Prof Sir Munir Pirmohamed (munirp@liverpool.ac.uk). You should have a PhD In mathematics, computer science, data science or other relevant areas (or other equivalent qualification
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the effect on gene expression in the parasite. This full time role would be ideal for someone who has experience in CRISPR techniques in model organisms and who is interested in applying them to human
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properties. The laboratory study is part of a larger project involving the modelling, observation and social science related to induced seismicity associated with industry focused on the green transition
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critical part of the innovative research in the field of Digital Energy Systems. The project is sponsored by UKRI with the aim to conduct modelling, analysis and optimisation of smart power distribution