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imaging, will allow for comprehensive and reliable characterisation of photocatalyst surfaces, shedding light on potential activation and deactivation mechanisms. The environmental STEM at the York-JEOL
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. The project will utilise advanced techniques such as in vivo two-photon calcium imaging and/or Neuropixels electrophysiology to record neuronal activity across large populations of cells. A variety of
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services, as well as receive clinical training in inherited cardiac conditions, sports cardiology and cardiac imaging. Person Specification Applicants should be clinically qualified with ALS and MRCP
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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etching. Use ‘zoom’ tomography and imaging to resolve structural variation across scales from 30μm down to 3nm to establish a platform for reverse bottom-up enamel remineralisation. Bottom-up multi-modal 4D
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modifiers. The cultures will be analysed using basic molecular and cell biological techniqu es as well as high throughput imaging and analysis to observe modifier effects on LRRK2 and LRRK2 Rab substrate