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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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the lab existing genome sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley
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students and postdoctoral researchers. Key responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and
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September 2025, subject to change. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please quote reference GT46538 on your application
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) on Monday 11 August 2025. Interviews are planned to take place online on Monday 01 September 2025, subject to change. To apply online for this vacancy and to view further information about the role, please
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encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Apply online
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responsibility to ensure that all employees are eligible to live and work in the UK. Further information Apply online
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, provided at the bottom of the page where you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We pride ourselves on being
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of innovative mass spectrometry-based workflows and data evaluation tools. The developed metabolomic and exposomic tools will be applied to address pressing research questions at the edge of environmental/food