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, end-users and other stakeholders in the creative and heritage industries. An analysis of current communications and media content around 3D printing technologies and 3D printed outputs. In particular
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programme. Details of research projects currently being undertaken can be seen at: https://www.crick.ac.uk/vivian-li/ . Key Responsibilities In this project, some of the specific aims include but are not
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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genotyping), tissue sectioning and immunohistochemistry/immunofluorescence, confocal and light sheet imaging and quantitative image analysis, single-cell RNA-seq, as well as 2D cell line and 3D organoid
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on existing methods, including a foundational model for mapping 2D mouse images to a canonical 3D mesh, with the goal of extending to full 3D reconstruction. This will enable inferring canonical 3D postures
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AQWA or equivalent) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability. Experience in designing connectors or mechanical interfaces is a plus. Familiarity with 3D
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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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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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, and phenotypes in disease-relevant contexts. Our research blends engineered 3D biomaterials with advanced imaging and molecular tools to elucidate biological mechanisms that can ultimately inform
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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