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protocols to analyze lipid fluxes and membrane organization. They will also participate in data analysis and interpretation, as well as the dissemination of results through scientific publications
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projects, including conducting surveys, interviews, and focus groups with students and stakeholders; Conduct literature reviews and contribute to data analysis, including statistical analysis using SPSS
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with a dissertation that includes a focus on host-microbe interactions, microbial community analysis, or microbial metabolism. Demonstrated expertise in one or more of the following: microbiome
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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identification, and you will support onward analysis of these datasets. This is a full-time position working 37 hours per week on a fixed-term basis for 12 months due to funding. For more information on Biological
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and
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scientific groups locally, nationally and internationally Lead the design, execution and analysis of in vivo experiments AND/OR lead the development of our medical implants, under the supervision
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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and flow cytometry techniques • Viability and apoptosis assays • Protein analysis techniques using ELISA, multiplex, and western blot • RNA extraction from cells and tissues and PCR techniques