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://www.aria.org.uk/opportunity-spaces/nature-computes-better/scaling-compute/ The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. At the lowest level
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of the coordination challenges use simplifying assumptions and simulated operational environments to achieve success. Our team is pushing these assumptions to their limits, with the aim to break the barrier to real
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
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to many of the coordination challenges use simplifying assumptions and simulated operational environments to achieve success. Our team is pushing these assumptions to their limits, with the aim to break the
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek