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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium
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Completion, or near completion, of a PhD in a relevant field such as marine geology, geochemistry, geochronology or a closely related discipline. An emerging research profile in geochemistry, geochronology
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related field. Demonstrated analytical skills, including proficiency with the R environment, spatial analysis and/or social research methods will be well regarded. This role offers a unique opportunity to
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researchers and fostering a collaborative, inclusive research culture. What you can bring to the role PhD in a relevant field and an outstanding record of scholarly achievement in single cell or spatial biology