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Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
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environments, fluent in R, while ideally have demonstrated experience in cancer or evolutionary genomics. Your key responsibilities will be to: conduct research, scholarly or professional activity independently
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, scalable numerical algorithms for extracting the evolution model of the relevant dynamical skeleton, quantifying associated uncertainties. We will develop mathematical theory underpinning the novel
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of single-cell molecular data. Experience and expertise in ML/AI algorithms for analysis of single-cell genomic data Demonstrated capacity to work collaboratively with researchers across both dry and wet