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Role The School of Advanced Study, University of London, is a partner in a major international research project: ‘Project StoryMachine: exploring implications of recommender based spatial hypertext
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access to the university supercomputing services to support this work. They may also be required to produce maps and perform simple spatial analysis for other members of the project. They will be involved
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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, Nature Energy 2024] to image operating perovskite solar PV cells with high spatial (hundreds of nanometers) and temporal (hundreds of picoseconds) resolution. This project will push these capabilities
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required to produce maps and perform simple spatial analysis for other members of the project. They will be involved in publications, with opportunities as both a first and co-author, and will also engage in
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(undesirable but likely unavoidable aspects such as fitness cost, imperfect performance of system components), considerations of fitness, resistance, spatial issues etc. An important element is to integrate
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access to the university supercomputing services to support this work. They may also be required to produce maps and perform simple spatial analysis for other members of the project. They will be involved
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems