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unknown. Recent work has uncovered a novel group of giant transposons called Starships, which have moved virulence, metal tolerance and other fitness associated genes horizontally between fungal species
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signalling in vitro ; this will include functional CRISPR screening and mass spectrometry analysis in 2D and 3D cell models. Tumour models will be analysed by IF/IHC, proteomics, genomics and transcriptionally
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assistant will engage in tasks related to project initiation, participant recruitment, data collection, data management and analysis, report writing, preparation of manuscripts and materials for publication
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and fuel cells. The research also includes the economic and life cycle analysis, and marketing plan of the fabricated GDL product, as well as identify the potential risks associated with the workplan
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focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging
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areas or equivalent qualifications Proven experience in structural biology, preferably by Nuclear Magnetic Resonance Spectroscopy, both in data acquisition and analysis Track record of working
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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have: - a home office licence and prior experience of in vivo mouse work - immunology experience, either using multiparameter flow cytometry, development and analysis of multiplex immunofluorescence
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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genome analysis pipelines and have extensive knowledge of genome annotation, comparative genomics, and the Ensembl infrastructure. You will be expected to work closely with all Ensembl teams to ensure data