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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all
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vivo culture. You will also investigate cGAS-STING signalling, regulation at the endoplasmic reticulum, and T cell phenotypes and trafficking. A key aspect of the role includes bioinformatic analysis
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. The research is primarily translational in nature, involving both preclinical models and human sample analysis from clinical trials, and is carried out in close collaboration with the pharmaceutical industry
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opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility
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genome/protein analysis pipelines for Mycobacteria genomics and drug target identification. Bioinformatics techniques will include database-driven analyses, quantitative comparative genomics approaches
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trapping or fluorescence microscopy to study DNA replication; • develop and employ simulations and data analysis routines to analyze your data; • develop an interdisciplinary skillset by
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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and computational biologists within the Buckley Group. The project will use CRISPR-based techniques and small molecules to manipulate expression of a cohort of transcription factors followed by analysis
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work on large-scale analysis of complex traits, including Bayesian machine learning and linear mixed model approaches for trait prediction and association in high-dimensional genomic datasets, as
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organising analysis and research. Experience with PDX models and primary leukemic cells is highly desirable. Applications for this vacancy should be made online and you will need to upload a supporting