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. Job Description Job Responsibilities Our 3D printing platform depends on a specialized software infrastructure that enables the creation of lifelike CT phantoms from complex imaging and anatomical data
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-resolution 3D electron microscopy and expansion microscopy experiments to map the synaptic connections various model organisms. You will be responsible for tissue preparation, imaging, and data acquisition
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imaging in 2D or 3D cell culture models; electrophysiology and 3D neuronal culture. Experience in data analysis and/or statistical methods is helpful. Equipment Utilized Biosafety cabinets, liquid nitrogen
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or translational research, regulatory affairs, medical devices, statistical analysis, or laboratory operations is preferred. · Experience with Horos, OsiriX, ImageJ, 3D Slicer, or comparable image-analysis software
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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fluoroscopic, digital angio, dyna CT and 3D image reconstruction functions. All CT/angio hybrid units, including applicable CT protocols and image reconstruction. All ultrasound units and other ancillary
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3D printing and surgical planning service for patient-specific modelling and procedural planning, as well as a regenerative medicine platform supporting biologic therapies, including platelet-rich
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data files Experience with SOLIDWORKS or another CAD package, preparation of technical drawings, 3D printing, basic machining, fabrication, or prototype-fixture development Experience following written
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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: Generative AI for visual exploration of biomedical data Interfaces for collaboration with AI Co-Scientists Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data