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Field
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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, especially XAS and other X-ray spectroscopy techniques, nuclear magnetic resonance spectroscopy, infrared and ultraviolet spectroscopy, as well as experience with high resolution STEM imaging Excellent written
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resonance spectroscopy, infrared and ultraviolet spectroscopy, as well as experience with high resolution STEM imaging Excellent written and oral communication skills Requirements: Recent or soon-to-be
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
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or image analysis. The post is full time and fixed term until 30 June 2028. The closing date for applications is noon UK time on Friday, 11 July 2025 You will be required to upload a CV and Supporting
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-EELS, STEM-EDS, electron diffraction, and 4D STEM, is essential. Experience with in situ gas phase TEM and low-dose imaging. Experience synthesizing polysiloxanes, processing thin polymer films, and
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with animal husbandry and special housing. In vitro electrophysiology techniques such as patch clamping and brain slice preparation. Immunohistochemistry experience with confocal imaging and 3
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advanced live cell imaging techniques, including lattice light sheet and an in house spinning disk. We also use genetics, CRISPR, and biochemistry to explore how mechanisms of cell division operate in a
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Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis