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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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, including molecular clouds (properties, formation, evolution), dynamics (supermassive black hole mass measurements, gas flows, active galactic nucleus feedback), and any other facets of the data not yet
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knowledge and tools for non-equilibrium flows for hypersonic vehicles. The research will provide unique and high-quality experimental data for expanding high temperature flows. Alongside this, the proposal
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
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) together with relevant experience; Informal enquiries may be addressed to Prof Antonio Elia Forte (email: @eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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culture and organoids to ensure data is clinically relevant. Our overarching aim is to utilise these techniques to identify therapeutic targets to which we can generate effective treatments. The post would
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will hold or be close to completion of a relevant first degree. You will need to undertake experimental research and collect, analyse and present data, working in collaboration with a post-doctoral
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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generate key structural and biophysical data to support the design of small molecule inhibitors with particular focus on protein production and crystallisation, solving protein-ligand structures, fragment
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of data presentation at scientific meetings. Application Process The closing date for applications is noon on 16th September 2025. What We Offer As an employer, we genuinely care about our employees