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Job Purpose The postholder will support the establishment and running of spatial omics within the Molecular Analysis Facility that currently offers bulk RNA/DNA library preparations, single cell
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Job Purpose To provide technical assistance and laboratory support to Professor Nigel and his group which is focussed on multiple aspects of spatial biology, in particular spatial transcriptomics
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omics data. Experience with methodologies that complement the current team’s expertise – such as single-cell or spatial transcriptomics, complex data integration, drug target identification
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utilizing mouse models in conjunction with imaging, single cell and spatial transcriptomic technologies, led by Professor Srikala Raghavan. The successful candidate will also be expected to contribute
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/Postdoc in a related electronics area) or industrial (practicing hardware/embedded electronic engineer) background. The key is having good hands-on experience in electronics design and implementation, and
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, this role will: * Investigate and develop approaches to retrieve and analyse traditional (spatial) and new forms of data (unstructured), for example from social media (images and text) and citizen
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digital histology and cutting-edge spatial omics data to predict patient outcomes. The post holder will be appointed by the School of Cancer Sciences, working with Dr Ke Yuan and Professors John Le Quesne
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requirements within key areas, such as adoption of AI and spatial biology. 12. Leading contribution towards shaping culture and capability within MVLS related to the management and use of data by specifying and
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single cell and spatial transcriptomic technologies, led by Professor Ram DasGupta. The successful candidate will also be expected to contribute to the formulation and submission of research publications
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adenoma and surrounding colonic biopsy tissue using techniques including immunohistochemistry, RNAseq, RNAscope, and state of the art spatial proteomic/transcriptomic technologies – Nanostring, GeoMx, DSP