32 augmented-workers-using-smart-robats-in-manufacturing-cell Postdoctoral positions at University of Cambridge
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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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Join us at the world-leading CRUK Cambridge Institute! We are a unique department of the University of Cambridge, core-funded by Cancer Research UK's charitable activities. The Narita Laboratory
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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whole-brain scale analysis of multimodal features such as connectivity, morphology or cell ultrastructure. Of particular interest here are two related problems: systematic meta annotation (especially cell
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part of a multidisciplinary team using a wide range of advanced characterisation techniques. They will be responsible for designing and conducting electrochemical experiments, preparing battery cells
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The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
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to probe glycoRNA in cells, and to exploit the roles of glycoRNA in cancer. The successful candidate will perform bioorthogonal chemistry to apply in the context of glycoRNA probing. This will consist
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obesity. Nat Med, doi:10.1038/s41591-023-02343-2 (2023). Fischer, K. et al. Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells. Nat
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the lab. This work will explore the molecular mechanisms of DNA damage responses and mutagenesis, and how sensitivity and resistance arise in different cancer cells and genetic backgrounds in response