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. Hands‑on 3D EM simulation of PCB/fixture structures and correlation to measurements. Strong background in photodiode front‑ends (TIAs), noise/stability analysis, and GHz‑class measurement techniques
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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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-motor control, and vocal health, with a focus on projects using 3D motion capture, acoustic analysis, and physiological recordings to study laryngeal function and vocal effort. The UT Larynx Lab
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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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. The fellowship is due to start in 04/2026. . WORK PLAN: Development and characterization (physicochemical, mechanical and biological) of 3D biphasic structures based on electrospinning with bioactive agents
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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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. 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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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high