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will be part of this research ecosystem. Project description A key missing capability in current cancer research is the ability to predict how a particular cancer cell will respond to a perturbation (e.g
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of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge interdisciplinary research at the intersection of ML and cancer research, and to contribute
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develop completely novel tools for a new type of DNA sequencing data. The project could also include work on high throughput structure prediction to further identify distinct DNA nanostructures with
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systems. The position is available for two years with possibility for extension. Mutations in somatic cells may be important drivers of ageing. This predicts a relationship between somatic mutation rates