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through chemical analyses (ICP-AES and ICP-MS), physicochemical analyses (DLS, zeta potential), structural analyses (XRD, XANES, EXAFS), X-ray imaging (2D and 3D), microbial community analyses, and
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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cells to developing novel approaches to 3D molecular structure determination to understanding how viruses hijack a cell’s machinery and alter its metabolome, the researchers in Biochemistry and Molecular
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who share these goals. For more information about the department visit http://pathology.stanford.edu/ About the Lab: The Schuele lab works on gene discovery and novel stem cell technologies to generate
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Skip to Main Content Press Control+M to start dragging object ptnbsid=%2fdwH3xWmENgln%2fC3NJIbjwdKTyk%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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Skip to Main Content Press Control+M to start dragging object ptnbsid=308TdQu2CWoMIW8232cZlazGTpE%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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Skip to Main Content Press Control+M to start dragging object ptnbsid=YcDINIjVK8tpCCXrQFcvvCEB%2f5Q%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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Skip to Main Content Press Control+M to start dragging object ptnbsid=rdDOBsx%2bD3pNikMCofJZSbM14lU%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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construction of instructional technology and equipment for use in labs and lecture demonstrations, including 3D printing, basic software development, and introductory-level circuit design, and consults with