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automated feeders), and analyse microbiome composition using 16S rRNA and whole-genome sequencing. Statistical modelling will test for links between microbes and host development and fitness.� PROJECT
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. For example, anaerobic bacteria culture and human cell co-culture infection models; cell viability assays and cancer invasion and migration assays; ELISA, quantitative PCR, DNA damage assays
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
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-specific TEM protocol will be used to reveal their subcellular localisation. This work will be done at UEA and IOCAS (Prof. Shan Gao). Objective 2: Using the genetically tractable model diatom Phaeodactylum
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution