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About the Role The post holder will be joining the Centre for Preventive Neurology to work on the international Global Parkinson’s Genetics Program (GP2; www.gp2.org), funded by the Aligning Science
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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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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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with teaching and learning. Precision Medical Sciences UG degree: List A List B Medical Cell Biology Basic Medical Genetics Medical Chemistry Introduction to Medical Ethics Academic skills Academic
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building in London. The postholder will work in a multidisciplinary project aiming to generate genetically modified T. cruzi cell lines, where quiescence is an inducible phenotype, both in vitro and in vivo
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evaluate three diagnostic approaches: the Prostate Specific Antigen blood test, biparametric Magnetic Resonance Imaging, and a Polygenic Risk Score, which reflects inherited genetic risk. By comparing how
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by a senior scientist and supported by strong social science integration. The NCD Theme aims to undertake world-leading research to understand how local genetic and environmental exposures, such as