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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal
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of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT. Development of DT information modelling, data fusion, and forecasting
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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Learning Lab, along with the Alan Turing Institute, the MRC Biostatistics Unit, and the Stan community. The position is based in Central Cambridge, UK. The project synthesises and advances insights from
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in
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material selection behind metal vessels and (model) tools, as well as their role in funerary practices. Representing some of early Egypt's most significant material culture, these assemblages remain poorly