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, metastasis, and therapeutic response. We characterise human breast tumour ecosystems using highly multiplexed tissue analysis via imaging mass cytometry and sophisticated image processing. Quantitative
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. The projects will be based around the development of advanced magnetic resonance techniques to optimise heterogenous catalysts and the operation of the reactor in which the catalysis occurs. Two projects
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The VISIONLAB, led by Dr Sarah Bohndiek, uses next-generation imaging sciences to advance our understanding of tumour evolution. We apply the latest multispectral imaging hardware, together
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of the following techniques: electrophysiology, calcium imaging, quantitative animal behavior, stereotactic surgery. Willingness to pursue a PhD in our lab and apply to the department's PhD program in 2024. Role
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early signaling events using fluorescence imaging (see https://elifesciences.org/reviewed-preprints/92350/figures and https://elifesciences.org/articles/3137 Applicants should have (or be about to
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analysis. A background in biophysics and image analysis algorithms is desirable, whilst prior experience with protein aggregation assays and microfluidics is an advantage, but not required. Applicants will
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specialist area in optics, including single-molecule confocal and fluorescence microscopy, along with designing and engineering of purpose-specific optical setups. Prior experience with image recognition
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most of these: Mouse experimental procedures (existing UK PIL highly valued), tissue processing, isolation and phenotyping/manipulation of cells using: Advanced flow cytometry Immunological assays
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to the hydrogen is required. The aim of this project is to apply a broad spectrum of magnetic resonance imaging methods to compare the levels of carbon dioxide and hydrogen entrapment in different rock core types
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to cover a large area. The primary aim of the project will be to finalize a functional prototype in partnership with an external manufacturer. The realization of this tool will enable wider spread use