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combining untargeted metabolomics, high-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting
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Website: https://med.stanford.edu/stankovic-lab.html (link is external) https://hellerlab-stanford.net/ (link is external) How to Submit Application Materials: Please send the following materials in a
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. 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 datasets and use it to power a
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for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
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experimental mechanics, 3D printing, and image-based measurements (DIC/DVC, tomography) will be appreciated. Both candidates should be curious, autonomous, and motivated by interdisciplinary research combining
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experimental mechanics, 3D printing, and image-based measurements (DIC/DVC, tomography) will be appreciated. Both candidates should be curious, autonomous, and motivated by interdisciplinary research combining
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Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year