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Program
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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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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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responsible for ensuring technical drawings are completed accurately using the 3D computer-aided drafting program, SOLIDWORKS. The individual will complete and coordinate engineering drawings including layouts
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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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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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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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) Solid-phase peptide synthesis; b) Chromatographic techniques for analysis and purification (e.g., reverse-phase HPLC); c) Handling of 3D cellular models and bioprinting. 3. WORK PLAN Collaboration in
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, including data collection, post-processing, analysis, and documentation. Perform design trade studies and document the resultant design requirements, intent, and concepts. Create 3D CAD models, applying
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating