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in human monolayer and 3D cartilage cultures. Mechanical loading and biochemical stimulation will assess how enhancer activity responds to physiologically relevant cues, using cartilage cell lines
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research, including: pre-clinical mouse models of cancer multi-parameter flow cytometry and immune phenotyping histology, immunofluorescence and spatial tissue profiling cell culture and molecular analysis
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and cell-free biosensors, alongside novel mechanisms for sample processing. These aim to simplify nucleic acid detection and enable passive, self-reporting tests to transform surveillance and response
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quarantine pests/pathogens. You will evaluate technologies such as CRISPR-based systems, strand displacement reactions and cell-free biosensors, alongside novel mechanisms for sample processing. These aim
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team. Desirable: Experience in biomaterials fabrication or characterisation (AFM, rheology, microscopy) Interest in cell–material interactions or immune signalling Number Of Awards 1 Start Date 1st
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candidate should have strong programming skills, particularly in Python, and experience with machine learning algorithms suited for cloud-edge, mobile, or IoT environments. Experience in prototyping and