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death. The role of NLR genes in these processes has been thoroughly described for plants and animals, but how they contribute to the fungal immune system is unexplored. Fungal NLR genes also show hugely
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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parallel expansion in mining to meet this demand is expected. The environmental, economic and social impacts of this global expansion are significant and need to be assessed, so that we do not trade one
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tested by isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) in collaboration with the lab of Prof. Andy Lovering. In parallel, minibinder/effector pairs will be co-expressed using
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applications. The research will examine how key parameters—such as printing speed, toolpath strategy, material rheology, and geometric complexity—influence interlayer adhesion. In parallel, the project will
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zebrafish handling, CRISPR/Cas9 genome editing, molecular biology, whole-mount staining, in vivo microscopy, 4D image analysis, FACS, and bulk and single cell RNA-sequencing, and bioinformatic analysis
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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of bioinformatic analysis of microbial genomics data High level analytical capability Ability to communicate complex information clearly Contribute to the planning and organising of the research programme and/or