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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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, including deconvolution algorithms to determine tissue-of-origin signals and gene expression patterns from cfDNA. Additionally, the role provides opportunities to participate in ongoing cfDNA bioinformatics
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to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders
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and have regular joint lab meetings. About You We are seeking ambitious and self-motivated postdoctoral researchers with a strong background in molecular and cellular biology, biochemistry, genetics
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will hold a PhD in a relevant field (e.g. molecular parasitology, biochemistry, genetics, or cell biology) and will be highly motivated and organised. Practical experience in sterile eukaryotic cell
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with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary theory or cancer genetics. About the Institute The Barts Cancer Institute (BCI) is a Cancer Research