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Field
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. The successful candidate will have the opportunity to contribute to cutting-edge research focused on the single-molecule characterization of DNA repair proteinsusing Total Internal Reflection Fluorescence (TIRF
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equipment, collect data, and monitor experimental quality. Histology and tissue processing Perform animal perfusion, brain extraction, tissue sectioning, immunohistochemical staining, fluorescence imaging
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fluorescence spectroscopy and X-ray protein crystallography. The photo-catalytic and enzymatic properties would be characterised in close collaboration with Prof. Nigel Scrutton’s FRS lab in Manchester. Based
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lines, supporting ongoing projects that combine state-of-the-art cell biology, advanced fluorescence microscopy, and sequencing-based approaches. You will work closely with PhD students and postdoctoral
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group as a Postdoctoral Scholar. Our laboratory develops and applies multidisciplinary approaches, including single-molecule force spectroscopy, single-molecule fluorescence imaging, stem cell-derived
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. You will be responsible for the rational and computational design of the proteins, developing flavination protocols, and producing and characterising the designs structurally using CD and fluorescence
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metabolism and how it is influenced by – and influences – neuronal activity and excitability. The lab develops tools for studying neural metabolism, including engineered proteins that function as fluorescent
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production and purification of lipid-binding proteins, including members of the CNPY/SAPLIP family and bacterially expressed fluorescent lipid-binding probes; characterization of protein–lipid interactions
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environment and receive training in complementary experimental approaches in cellular and synaptic neuroscience. The project combines primary neuronal cultures, mouse models, advanced fluorescence imaging
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focuses on a modular sensing system combining ultraviolet (UV), visible (VIS), and near-infrared (NIR) reflection spectroscopy, fluorescence spectroscopy, and Raman spectroscopy, supported by a co-optimized