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Field
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Associates to join our Neural Engineering and Regenerative Medicine team. Our Laboratory engineers advanced microphysiological platforms, 3D-bioprinted constructs, and regenerative scaffolds that bridge
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transport using 3D single molecule fluorescence microscopy and single particle tracking approaches (see Sau et al., 2025 Nature 640:821). Both astigmatism and MINFLUX microscopy will be applied to determine
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and techniques in archaeology. The project has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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neutrophils, tumor cells, CD8+ T-cells, and cancer-associated fibroblasts, within a biomimetic 3D hydrogel that replicates the tumor microenvironment. Observing neutrophil behaviour: Automated image analysis
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electrodes using various electron microscopy techniques (e.g. FIB-SEM); (ii) Reconstruction of the 3D structure through image analysis; (iii) Analysis of images from new and aged membrane-electrode assemblies
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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looking for a postdoctoral researcher to lead the development of an advanced and correlative characterization workflow for lithium deposition and solid-electrolyte interphase (SEI) analysis in lithium
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to 3D printing partners. 4. Bibliographic and patent analysis. 5. Coordination of project activities jointly with the Partners. 6. Drafting of deliverables and Project Milestones. 7. Monitoring
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/Qualifications Laboratory skills: 3D printing, polymers, composites, nanomaterials synthesis; Experience in molecular spectroscopy: practical skills in Raman, SERS, IR, and UV-Vis spectroscopy; analysis of various