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Field
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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of techniques that encompass microbiology, biochemistry, metabonomics, bioinformatics and gut modelling. It will require a skilled postdoctoral scientist who will be familiar with such methods or is
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proteomics and metabolomics and TPP. C3. Skills in genetic modification, C4. Skills in culture of host and parasite cells. Desirable: D1. Skills in or parasite mRNA expression. D2. Skills with bioinformatic
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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The Durbin Group in the Department of Genetics is seeking a postdoctoral Research Associate with strong expertise in genomic bioinformatics, phylogenetics and ancient sedimentary DNA analysis
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The Durbin Group in the Department of Genetics is seeking a postdoctoral Research Associate with strong expertise in genomic bioinformatics, phylogenetics and ancient sedimentary DNA analysis
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, you will lead the development and application of bioinformatics pipelines for DNA sequencing, contribute to innovative cancer research, and collaborate with a diverse team of scientists and external
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advanced techniques in cell and molecular biology and cell imaging, and data analysis and interpretation of datasets (with support from local specialist bioinformatics and imaging teams). You must have
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, you will lead the development and application of bioinformatics pipelines for DNA sequencing, contribute to innovative cancer research, and collaborate with a diverse team of scientists and external