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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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in the neuroscience of energy balance and metabolism. Applicants should have a background in the generation and analysis of single cell and spatial transcriptomics data. The role holder will be
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/ ), University of Cambridge. The position involves investigating the organisation and function of neural circuits underlying spatial orientation and self-motion perception, funded by the Wellcome Trust
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availability and new processing techniques, have enabled the detection of pre-collapse signals with unprecedented sensitivity across large spatial scales. This project, building on prototype deployments across
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continuous, spatially varying quantities. The project will amongst other things use (i) lab-based flux enhanced tomography for full field measurement of deformation fields and X-ray diffraction measurements
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additional skills are highly valued: High-parameter IF or mass-spec imaging, spatial transcriptomics, and associated image analysis. Immunometabolism experience (i.e. metabolomic profiling, Seahorse analysis
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research. Contribution to excellence in research will be as a member of a project financed by the British Academy (" Combining Spatial and Temporal Work as a Source of Resilience: An Organisational
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). The applicant will also be expected to progress data analysis in collaboration with colleagues at Cellular Genetics at the Wellcome Sanger Institute, methods of analysing and integrating spatial data of differing
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simulation software packages and finite element analysis; previous knowledge in wireless power transfer; experience in spatial magnetic field shaping; experience with mathematical modelling and common convex
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/ About the role: You will analyse single cell and spatial transcriptomic data sets generated from human tissues to understand immune cells and their cross-talk with stromal cells in health and disease. You