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additional expertise in areas such as FACS/mass cytometry, bioinformatics, or in vivo work (holding a personal licence) would be advantageous. Application Process If you would like to discuss this role, please
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for success: Strong bioinformatic expertise to interrogate parasite genomes and transcriptomes Experience working with CL3 pathogens, especially African trypanosomes, and genetically manipulating them Ability
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integration of multi-omics data Experience or aptitude for bioinformatics A PhD in a relevant field (or equivalent level of experience) An interest on working on aquaculture production systems
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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expansion, reveal genetic modifiers and identify biomarkers of myotonic dystrophy type 1 and related disorders. The successful candidate will provide molecular biological, genetic, bioinformatic, and data
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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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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. Familiarity with bioinformatics and computational biology
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interest for cell culture model systems, signal transduction and bioinformatics Methodological skills: chromatography, mass spectrometry, basic knowledge of bioanalytical chemistry Expertise on data analysis