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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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STARS and HSMA STARS is an Open Science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling of past societies, working on the Science, Society and Environmental Change in the First
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(python, C++, bash scripting…) for the modelling of molecular crystals. To work closely with other experimentalists in the consortium and support experiments through computations. To help develop and build
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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(multivariate classification and/or computational modelling) to carry out fundamental science research in the Woolgar lab. The ideal post holder will have prior experience with acquisition of fMRI and/or MEG data